Dual-Structure Elements Morphological Filtering and Local Z-Score Normalization for Infrared Small Target Detection against Heavy Clouds
Infrared (IR) small target detection in sky scenes is crucial for aerospace, border security, and atmospheric monitoring. Most current works are typically designed for generalized IR scenes, which may not be optimal for the specific scenario of sky backgrounds, particularly for detecting small and d...
Uloženo v:
| Vydáno v: | Remote sensing (Basel, Switzerland) Ročník 16; číslo 13; s. 2343 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Basel
MDPI AG
01.07.2024
|
| Témata: | |
| ISSN: | 2072-4292, 2072-4292 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Infrared (IR) small target detection in sky scenes is crucial for aerospace, border security, and atmospheric monitoring. Most current works are typically designed for generalized IR scenes, which may not be optimal for the specific scenario of sky backgrounds, particularly for detecting small and dim targets at long ranges. In these scenarios, the presence of heavy clouds usually causes significant false alarms due to factors such as strong edges, streaks, large undulations, and isolated floating clouds. To address these challenges, we propose an infrared dim and small target detection algorithm based on morphological filtering with dual-structure elements. First, we design directional dual-structure element morphological filters, which enhance the grayscale difference between the target and the background in various directions, thus highlighting the region of interest. The grayscale difference is then normalized in each direction to mitigate the interference of false alarms in complex cloud backgrounds. Second, we employ a dynamic scale awareness strategy, effectively preventing the loss of small targets near cloud edges. We enhance the target features by multiplying and fusing the local response values in all directions, which is followed by threshold segmentation to achieve target detection results. Experimental results demonstrate that our method achieves strong detection performance across various complex cloud backgrounds. Notably, it outperforms other state-of-the-art methods in detecting targets with a low signal-to-clutter ratio (MSCR ≤ 2). Furthermore, the algorithm does not rely on specific parameter settings and is suitable for parallel processing in real-time systems. |
|---|---|
| AbstractList | Infrared (IR) small target detection in sky scenes is crucial for aerospace, border security, and atmospheric monitoring. Most current works are typically designed for generalized IR scenes, which may not be optimal for the specific scenario of sky backgrounds, particularly for detecting small and dim targets at long ranges. In these scenarios, the presence of heavy clouds usually causes significant false alarms due to factors such as strong edges, streaks, large undulations, and isolated floating clouds. To address these challenges, we propose an infrared dim and small target detection algorithm based on morphological filtering with dual-structure elements. First, we design directional dual-structure element morphological filters, which enhance the grayscale difference between the target and the background in various directions, thus highlighting the region of interest. The grayscale difference is then normalized in each direction to mitigate the interference of false alarms in complex cloud backgrounds. Second, we employ a dynamic scale awareness strategy, effectively preventing the loss of small targets near cloud edges. We enhance the target features by multiplying and fusing the local response values in all directions, which is followed by threshold segmentation to achieve target detection results. Experimental results demonstrate that our method achieves strong detection performance across various complex cloud backgrounds. Notably, it outperforms other state-of-the-art methods in detecting targets with a low signal-to-clutter ratio (MSCR ≤ 2). Furthermore, the algorithm does not rely on specific parameter settings and is suitable for parallel processing in real-time systems. |
| Audience | Academic |
| Author | Lei, Tao Lu, Zhi Jiang, Ping Peng, Lingbing |
| Author_xml | – sequence: 1 givenname: Lingbing surname: Peng fullname: Peng, Lingbing – sequence: 2 givenname: Zhi orcidid: 0000-0001-6941-981X surname: Lu fullname: Lu, Zhi – sequence: 3 givenname: Tao orcidid: 0000-0002-0900-1582 surname: Lei fullname: Lei, Tao – sequence: 4 givenname: Ping surname: Jiang fullname: Jiang, Ping |
| BookMark | eNptkk1vEzEQhleoSJTSC7_AEheEtMVf2Y9jlbY0UoBDyoXLatYeL44cO9jeSuUX8LNxEwSowj54NH7eGY3eeVmd-OCxql4zeiFET9_HxBomuJDiWXXKactryXt-8k_8ojpPaUvLEYL1VJ5WP69mcPUmx1nlOSK5drhDnxP5GOL-W3BhsgocubEuY7R-IuA1WYfH3Nd6o0KRfApxB87-gGyDJyZEsvImQkRNNuXDkTuIE2ZyhRnVgYEJrE-Z3CLcP5ClC7NOr6rnBlzC89_vWfXl5vpueVuvP39YLS_XtZJC5BrGUXJodSP6BSDovm01UOyFViMwM3bYNpqC6VWrEKHFRjYdpXIxdkKarhdn1epYVwfYDvtodxAfhgB2OCRCnAaI2SqHAwdllFDQtZpJMNj12nAsfTgbUapFqfX2WGsfw_cZUx52Nil0DjyGOQ2CLUTTUM5EQd88Qbdhjr5MOgja9lzyBZeFujhSE5T-1puQI6hyNe6sKm4bW_KXHWXF5OYgeHcUqBhSimj-TMTo8LgUw9-lKDB9AiubD66VLtb9T_ILJl69bw |
| CitedBy_id | crossref_primary_10_1088_1742_6596_3004_1_012029 crossref_primary_10_3390_ijgi14090365 crossref_primary_10_3389_fmars_2025_1584345 crossref_primary_10_1109_TGRS_2025_3579206 crossref_primary_10_1002_ett_70076 crossref_primary_10_3390_rs16193608 crossref_primary_10_3390_s25144463 crossref_primary_10_3390_rs17010075 crossref_primary_10_1109_ACCESS_2024_3511547 crossref_primary_10_3390_biomimetics10090614 crossref_primary_10_1063_5_0282210 |
| Cites_doi | 10.1016/j.infrared.2016.06.021 10.1109/LGRS.2020.3004978 10.1109/JSTARS.2021.3103261 10.1109/LGRS.2019.2917825 10.1109/LGRS.2018.2790909 10.3390/rs14092234 10.1109/TIP.2013.2281420 10.1109/LGRS.2023.3329687 10.1109/ACCESS.2019.2944661 10.3390/rs11040382 10.1109/TIP.2022.3199107 10.1109/JSTARS.2017.2700023 10.1016/j.imavis.2006.04.018 10.1109/TGRS.2020.2989825 10.1109/MGRS.2022.3145502 10.1109/TAES.2022.3159308 10.1109/LGRS.2009.2039192 10.1016/j.patcog.2009.12.023 10.1016/j.infrared.2017.05.009 10.1109/ACCESS.2020.2974890 10.1109/LGRS.2019.2922347 10.1109/TGRS.2008.2000926 10.1109/TGRS.2020.3012981 10.1016/j.patcog.2016.04.002 10.1109/CVPR52688.2022.00095 10.3390/s20020459 10.1007/s10043-019-00543-1 10.1016/j.infrared.2014.03.007 10.1109/TGRS.2013.2242477 10.1016/j.infrared.2018.10.011 10.1109/LGRS.2018.2866154 10.1016/j.infrared.2023.104877 10.1109/TGRS.2016.2538295 10.3390/rs15174316 10.1109/LGRS.2019.2954578 10.1016/j.infrared.2017.01.009 10.3390/rs10111821 10.1109/ICNISC.2018.00042 10.3390/rs12091520 10.1109/LGRS.2023.3236030 10.3390/rs11050559 10.1109/LGRS.2019.2954715 10.1016/j.infrared.2017.03.003 10.1109/TGRS.2020.3044958 10.1117/12.352956 10.3390/s22166258 10.1364/OE.24.017553 10.1016/j.infrared.2016.04.003 10.1109/LGRS.2020.3003267 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2024 MDPI AG 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: COPYRIGHT 2024 MDPI AG – notice: 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD 8FE 8FG ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F28 FR3 H8D H8G HCIFZ JG9 JQ2 KR7 L6V L7M L~C L~D M7S P5Z P62 P64 PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS 7S9 L.6 DOA |
| DOI | 10.3390/rs16132343 |
| DatabaseName | CrossRef Aluminium Industry Abstracts Biotechnology Research Abstracts Ceramic Abstracts Chemoreception Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Ecology Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library SciTech Premium Collection Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Databases ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection AGRICOLA AGRICOLA - Academic DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database Materials Research Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest Central China Materials Business File Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences Engineered Materials Abstracts Natural Science Collection Chemoreception Abstracts ProQuest Central (New) Engineering Collection ANTE: Abstracts in New Technology & Engineering Advanced Technologies & Aerospace Collection Engineering Database Aluminium Industry Abstracts ProQuest One Academic Eastern Edition Electronics & Communications Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Ceramic Abstracts Ecology Abstracts Biotechnology and BioEngineering Abstracts ProQuest One Academic UKI Edition Solid State and Superconductivity Abstracts Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) ProQuest One Community College Earth, Atmospheric & Aquatic Science Collection ProQuest Central Aerospace Database Copper Technical Reference Library ProQuest Engineering Collection Biotechnology Research Abstracts ProQuest Central Korea Advanced Technologies Database with Aerospace Civil Engineering Abstracts ProQuest SciTech Collection METADEX Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database Materials Science & Engineering Collection Corrosion Abstracts AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | CrossRef AGRICOLA Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography |
| EISSN | 2072-4292 |
| ExternalDocumentID | oai_doaj_org_article_2acfc3ca87d14afe89df2ecba21be4c5 A801343624 10_3390_rs16132343 |
| GeographicLocations | China |
| GeographicLocations_xml | – name: China |
| GroupedDBID | 29P 2WC 2XV 5VS 8FE 8FG 8FH AADQD AAHBH AAYXX ABDBF ABJCF ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS ARAPS BCNDV BENPR BGLVJ BHPHI BKSAR CCPQU CITATION E3Z ESX FRP GROUPED_DOAJ HCIFZ I-F IAO ITC KQ8 L6V LK5 M7R M7S MODMG M~E OK1 P62 PCBAR PHGZM PHGZT PIMPY PQGLB PROAC PTHSS TR2 TUS 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD ABUWG AZQEC C1K DWQXO F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 PKEHL PQEST PQQKQ PQUKI PRINS 7S9 L.6 |
| ID | FETCH-LOGICAL-c433t-abb42a7d6395aead977da0e93dcba1fb8e76d0af9c7ceea7e64680045b834f893 |
| IEDL.DBID | M7S |
| ISICitedReferencesCount | 12 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001269859900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2072-4292 |
| IngestDate | Mon Nov 10 04:31:13 EST 2025 Sun Nov 09 13:51:54 EST 2025 Fri Jul 25 11:49:17 EDT 2025 Tue Nov 04 18:14:46 EST 2025 Sat Nov 29 07:14:56 EST 2025 Tue Nov 18 21:51:36 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 13 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c433t-abb42a7d6395aead977da0e93dcba1fb8e76d0af9c7ceea7e64680045b834f893 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0001-6941-981X 0000-0002-0900-1582 |
| OpenAccessLink | https://www.proquest.com/docview/3079242524?pq-origsite=%requestingapplication% |
| PQID | 3079242524 |
| PQPubID | 2032338 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_2acfc3ca87d14afe89df2ecba21be4c5 proquest_miscellaneous_3153660213 proquest_journals_3079242524 gale_infotracacademiconefile_A801343624 crossref_primary_10_3390_rs16132343 crossref_citationtrail_10_3390_rs16132343 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-07-01 |
| PublicationDateYYYYMMDD | 2024-07-01 |
| PublicationDate_xml | – month: 07 year: 2024 text: 2024-07-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Remote sensing (Basel, Switzerland) |
| PublicationYear | 2024 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Xi (ref_12) 2023; 134 Han (ref_38) 2020; 17 ref_14 ref_58 Dai (ref_50) 2017; 81 ref_10 Guan (ref_29) 2020; 17 Ye (ref_30) 2002; 7 ref_52 ref_51 Thanh (ref_2) 2008; 46 Chen (ref_23) 2022; 60 Chen (ref_26) 2013; 52 ref_15 ref_59 Liu (ref_7) 2017; 85 Law (ref_4) 2016; 24 Liu (ref_55) 2020; 58 Dai (ref_25) 2017; 10 Wang (ref_18) 2022; 60 Wei (ref_27) 2016; 58 Lv (ref_40) 2019; 16 Gao (ref_24) 2013; 22 Wang (ref_19) 2019; 7 Zhao (ref_16) 2021; 59 Han (ref_5) 2016; 13 ref_21 Han (ref_39) 2021; 18 Zhao (ref_47) 2018; 95 Wu (ref_41) 2021; 18 Li (ref_20) 2023; 32 Yi (ref_56) 2023; 20 Ren (ref_13) 2020; 8 Du (ref_45) 2020; 17 Bai (ref_33) 2010; 43 Yang (ref_54) 2022; 19 Chen (ref_44) 2022; 19 ref_35 Wan (ref_11) 2016; 76 Wang (ref_34) 2021; 14 Zhang (ref_57) 2023; 20 Dong (ref_36) 2014; 65 Han (ref_37) 2018; 15 Gu (ref_31) 2010; 7 Lerallut (ref_32) 2007; 25 Dai (ref_17) 2021; 59 Cui (ref_42) 2022; 19 Deng (ref_9) 2016; 54 Peng (ref_28) 2019; 26 Chen (ref_22) 2022; 58 Nasiri (ref_43) 2017; 82 Zhao (ref_1) 2022; 10 Dai (ref_48) 2016; 77 Du (ref_46) 2020; 17 ref_3 ref_49 ref_8 Kong (ref_53) 2022; 60 ref_6 |
| References_xml | – volume: 77 start-page: 421 year: 2016 ident: ref_48 article-title: Infrared Small Target and Background Separation via Column-Wise Weighted Robust Principal Component Analysis publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2016.06.021 – volume: 18 start-page: 1670 year: 2021 ident: ref_39 article-title: Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2020.3004978 – volume: 14 start-page: 8077 year: 2021 ident: ref_34 article-title: Multidirectional Ring Top-Hat Transformation for Infrared Small Target Detection publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2021.3103261 – volume: 17 start-page: 327 year: 2020 ident: ref_29 article-title: Gaussian Scale-Space Enhanced Local Contrast Measure for Small Infrared Target Detection publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2019.2917825 – volume: 15 start-page: 612 year: 2018 ident: ref_37 article-title: Infrared Small Target Detection Utilizing the Multiscale Relative Local Contrast Measure publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2018.2790909 – ident: ref_58 doi: 10.3390/rs14092234 – volume: 22 start-page: 4996 year: 2013 ident: ref_24 article-title: Infrared Patch-Image Model for Small Target Detection in a Single Image publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2013.2281420 – volume: 19 start-page: 1 year: 2022 ident: ref_44 article-title: Improved Fuzzy C-Means for Infrared Small Target Detection publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 20 start-page: 1 year: 2023 ident: ref_57 article-title: Infrared Small Target Detection With Patch Tensor Collaborative Sparse and Total Variation Constraint publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2023.3329687 – volume: 7 start-page: 146081 year: 2019 ident: ref_19 article-title: Detection of Infrared Small Targets Using Feature Fusion Convolutional Network publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2944661 – ident: ref_51 doi: 10.3390/rs11040382 – volume: 32 start-page: 1745 year: 2023 ident: ref_20 article-title: Dense Nested Attention Network for Infrared Small Target Detection publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2022.3199107 – volume: 10 start-page: 3752 year: 2017 ident: ref_25 article-title: Reweighted Infrared Patch-Tensor Model with Both Nonlocal and Local Priors for Single-Frame Small Target Detection publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2017.2700023 – ident: ref_35 – volume: 25 start-page: 395 year: 2007 ident: ref_32 article-title: Image Filtering Using Morphological Amoebas publication-title: Image Vis. Comput. doi: 10.1016/j.imavis.2006.04.018 – volume: 58 start-page: 8689 year: 2020 ident: ref_55 article-title: Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2020.2989825 – volume: 10 start-page: 87 year: 2022 ident: ref_1 article-title: Single-Frame Infrared Small-Target Detection: A Survey publication-title: IEEE Geosci. Remote Sens. Mag. doi: 10.1109/MGRS.2022.3145502 – volume: 58 start-page: 3979 year: 2022 ident: ref_22 article-title: Local Patch Network With Global Attention for Infrared Small Target Detection publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2022.3159308 – volume: 7 start-page: 469 year: 2010 ident: ref_31 article-title: A Kernel-Based Nonparametric Regression Method for Clutter Removal in Infrared Small-Target Detection Applications publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2009.2039192 – volume: 43 start-page: 2145 year: 2010 ident: ref_33 article-title: Analysis of New Top-Hat Transformation and the Application for Infrared Dim Small Target Detection publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2009.12.023 – volume: 85 start-page: 13 year: 2017 ident: ref_7 article-title: Infrared Small Target Detection in Heavy Sky Scene Clutter Based on Sparse Representation publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2017.05.009 – volume: 8 start-page: 36930 year: 2020 ident: ref_13 article-title: Adaptive Background Suppression Method Based on Intelligent Optimization for IR Small Target Detection Under Complex Cloud Backgrounds publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2974890 – volume: 60 start-page: 1 year: 2022 ident: ref_53 article-title: Infrared Small Target Detection via Nonconvex Tensor Fibered Rank Approximation publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 17 start-page: 514 year: 2020 ident: ref_45 article-title: Infrared Small Target Detection Using Homogeneity-Weighted Local Contrast Measure publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2019.2922347 – volume: 46 start-page: 3987 year: 2008 ident: ref_2 article-title: Infrared Thermography for Buried Landmine Detection: Inverse Problem Setting publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2008.2000926 – volume: 59 start-page: 4481 year: 2021 ident: ref_16 article-title: A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2020.3012981 – volume: 58 start-page: 216 year: 2016 ident: ref_27 article-title: Multiscale Patch-Based Contrast Measure for Small Infrared Target Detection publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2016.04.002 – ident: ref_21 doi: 10.1109/CVPR52688.2022.00095 – volume: 13 start-page: 452 year: 2016 ident: ref_5 article-title: An Infrared Small Target Detecting Algorithm Based on Human Visual System publication-title: IEEE Geosci. Remote Sens. Lett. – ident: ref_10 doi: 10.3390/s20020459 – volume: 26 start-page: 568 year: 2019 ident: ref_28 article-title: Infrared Small-Target Detection Based on Multi-Directional Multi-Scale High-Boost Response publication-title: Opt. Rev. doi: 10.1007/s10043-019-00543-1 – volume: 65 start-page: 36 year: 2014 ident: ref_36 article-title: A Novel Infrared Small Moving Target Detection Method Based on Tracking Interest Points under Complicated Background publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2014.03.007 – volume: 52 start-page: 574 year: 2013 ident: ref_26 article-title: A Local Contrast Method for Small Infrared Target Detection publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2013.2242477 – volume: 95 start-page: 53 year: 2018 ident: ref_47 article-title: Spatial-Temporal Local Contrast for Moving Point Target Detection in Space-Based Infrared Imaging System publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2018.10.011 – volume: 16 start-page: 261 year: 2019 ident: ref_40 article-title: A Method for Weak Target Detection Based on Human Visual Contrast Mechanism publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2018.2866154 – volume: 134 start-page: 104877 year: 2023 ident: ref_12 article-title: Infrared Moving Small Target Detection Based on Spatial-Temporal Local Contrast under Slow-Moving Cloud Background publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2023.104877 – volume: 54 start-page: 4204 year: 2016 ident: ref_9 article-title: Small Infrared Target Detection Based on Weighted Local Difference Measure publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2016.2538295 – ident: ref_59 doi: 10.3390/rs15174316 – volume: 17 start-page: 1822 year: 2020 ident: ref_38 article-title: A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2019.2954578 – volume: 60 start-page: 1 year: 2022 ident: ref_18 article-title: Interior Attention-Aware Network for Infrared Small Target Detection publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 81 start-page: 182 year: 2017 ident: ref_50 article-title: Non-Negative Infrared Patch-Image Model: Robust Target-Background Separation via Partial Sum Minimization of Singular Values publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2017.01.009 – ident: ref_49 doi: 10.3390/rs10111821 – ident: ref_8 doi: 10.1109/ICNISC.2018.00042 – volume: 19 start-page: 1 year: 2022 ident: ref_42 article-title: Infrared Small Target Detection Based on Weighted Three-Layer Window Local Contrast publication-title: IEEE Geosci. Remote Sens. Lett. – ident: ref_52 doi: 10.3390/rs12091520 – volume: 20 start-page: 1 year: 2023 ident: ref_56 article-title: Spatial-Temporal Tensor Ring Norm Regularization for Infrared Small Target Detection publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2023.3236030 – ident: ref_3 doi: 10.3390/rs11050559 – volume: 17 start-page: 1817 year: 2020 ident: ref_46 article-title: Infrared Moving Small-Target Detection Using Spatial–Temporal Local Difference Measure publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2019.2954715 – volume: 82 start-page: 107 year: 2017 ident: ref_43 article-title: Infrared Small Target Enhancement Based on Variance Difference publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2017.03.003 – volume: 19 start-page: 1 year: 2022 ident: ref_54 article-title: Infrared Small Target Detection Based on a Group Image-Patch Tensor Model publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 59 start-page: 9813 year: 2021 ident: ref_17 article-title: Attentional Local Contrast Networks for Infrared Small Target Detection publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2020.3044958 – ident: ref_6 doi: 10.1117/12.352956 – ident: ref_14 doi: 10.3390/s22166258 – ident: ref_15 – volume: 24 start-page: 17553 year: 2016 ident: ref_4 article-title: Manganese-Doped near-Infrared Emitting Nanocrystals for in Vivo Biomedical Imaging publication-title: Opt. Express doi: 10.1364/OE.24.017553 – volume: 76 start-page: 455 year: 2016 ident: ref_11 article-title: In-Frame and Inter-Frame Information Based Infrared Moving Small Target Detection under Complex Cloud Backgrounds publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2016.04.003 – volume: 60 start-page: 1 year: 2022 ident: ref_23 article-title: A Multi-Task Framework for Infrared Small Target Detection and Segmentation publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 7 start-page: 638 year: 2002 ident: ref_30 article-title: Small Target Detection Method Based on Morphology Top-Hat Operator publication-title: J. Image Graph. – volume: 18 start-page: 1476 year: 2021 ident: ref_41 article-title: A Double-Neighborhood Gradient Method for Infrared Small Target Detection publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2020.3003267 |
| SSID | ssj0000331904 |
| Score | 2.459669 |
| Snippet | Infrared (IR) small target detection in sky scenes is crucial for aerospace, border security, and atmospheric monitoring. Most current works are typically... |
| SourceID | doaj proquest gale crossref |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database |
| StartPage | 2343 |
| SubjectTerms | Algorithms Atmospheric monitoring Border stations cloud clutter suppression Clouds Clutter Comparative analysis design dual-structure elements False alarms filters Gray scale Infrared filters Infrared imaging infrared small target detection local Z-score normalization Methods monitoring Morphological filters Morphology National security Parallel processing Real time remote sensing Sky Standard scores Target acquisition Target detection Target recognition Wavelet transforms |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxQxEA9SCvoitiqeVokoiA9LLx_NZh9r26NCPYSrUHwJs8lED5Y9ub0r9D_wz3aS3TsrWHzxdTOw2czXb9jJbxh7621tEKMtjkCYQgdBPidRFkIgorWKIG-eWnJRTqf26qr6fGvUV-oJ6-mB-4M7lOCjVx5sGYSGiLYKUaKvQYoatc_spYR6bhVTOQYrMq2x7vlIFdX1h8uOsI2SSqs_MlAm6r8rHOccM3nEHg7gkB_3m9pj97DdZ_eHOeXfbx6zn6draIpZ5nxdL5Gf9c3fHf-0oPPaxDE-mad_4JSUOLSBX6R0xb8Ws8RYyacJpDbD7UtOkJV_bOMytaHzGS00_DL3hvNTXOUurZbDN5gTiOTnCNc3_KRZrEP3hH2ZnF2enBfDLIXCa6VWBdS1llAGAiRHQNZDsC_AGCsV6ChFrC2WJowhVr6ktAklGm1swnu1VToSqHnKdtpFi88YF1CVsZLWWOm1rqnkqrTA4INXgCjtiL3fnK_zA9F4mnfROCo4ki7cb12M2Jut7I-eXuOvUh-SmrYSiRI7PyBDcYOhuH8Zyoi9S0p2yXFpOx6G-wf0UYkCyx1TrqZ3GalH7GBjB27w6M5RLKxSeZaWX2-XyRfTDxZocbEmGUofxhBqUs__x45fsAeSIFTfHHzAdsi48CXb9derebd8lQ3-F4SlC1A priority: 102 providerName: Directory of Open Access Journals |
| Title | Dual-Structure Elements Morphological Filtering and Local Z-Score Normalization for Infrared Small Target Detection against Heavy Clouds |
| URI | https://www.proquest.com/docview/3079242524 https://www.proquest.com/docview/3153660213 https://doaj.org/article/2acfc3ca87d14afe89df2ecba21be4c5 |
| Volume | 16 |
| WOSCitedRecordID | wos001269859900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: DOA dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: M~E dateStart: 20090101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: P5Z dateStart: 20090301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: PCBAR dateStart: 20090301 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: M7S dateStart: 20090301 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: BENPR dateStart: 20090301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: PIMPY dateStart: 20090301 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Nb9MwFLdgQ4IL34jAqIxAQhyiNbabOCe0j1abtFUVHdLYJXqxX0alKhlNO2kXzvzZPDtuJyTgwsWH2Ers-H38bD__HmPvjS5TxErHA0jSWNmEdE6giJMEEbWWBHl91pKTbDzW5-f5JGy4tSGscm0TvaG2jXF75Lski7mDx0J9uvoeu6xR7nQ1pNC4y7YdS4LwoXvTzR5LX5KA9VXHSippdb-7aAnhSCGV_M0Pebr-vxll72lGj_63j4_Zw4Ax-V4nFE_YHayfsvsh3fm3m2fs5-EK5vHUU8euFsiHXQx5y08b-u1rc8hHM3eUTr6NQ235ifN6_CKeOuJLPnZYdx4ucXJCvvy4rhYump1PqWLOz3yIOT_EpQ_2qjlcwoywKD9CuL7hB_NmZdvn7MtoeHZwFIeUDLFRUi5jKEslILOEawZAQkjo0UIfc2lNCUlVasxS24cqNxl5X8gwVal2sLHUUlWEjV6wrbqp8SXjCeRZlQudamGUKmnllqsErbFGAqLQEfu4nqDCBL5ylzZjXtC6xU1mcTuZEXu3aXvVsXT8sdW-m-dNC8es7R80i8siKGohwFRGGtCZTRRUqHNbCaTRiaREZQYR--CkpHD6T90xEK4x0KAck1axRy6fvpUKFbGdtZQUwTC0xa2IROztpppU2p3TQI3NitqQF0pTAl_y1b9f8Zo9EISxuujhHbZFYoNv2D1zvZy1ix7b3h-OJ597fpuh5zXDlT-GVE4GF1Q_OT6dfP0Fs7AdMA |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLamgTReuCPKBhgBQjxES2w3cR4QGuuqVusqpBZp4iVz7JNRqUq2ph3qP-DX8Bs5J5dOSMDbHniNj3JxPn_ns318DmNvrE5DgEx7XROEnnIBjjkBwgsCANBaouStqpaMovFYn57Gn7fYz_YsDIVVtpxYEbUrLK2R7yMWY5LHQn28uPSoahTtrrYlNGpYHMP6O07Zyg_DHv7ft0L0j6aHA6-pKuBZJeXSM2mqhIkcuuauwX5EAeSMD7F0NjVBlmqIQuebLLYROhATQahCTcon1VJlmpIvIeXfUsT-VajgZLOm40sEtK_qLKhSxv7-okRFJYVU8je_V5UH-JsTqDxb_97_1if32d1GQ_ODGvQP2BbkD9lOU8792_oR-9Fbmbk3qVLjrhbAj-oY-ZKfFAirlu55f0ahAui7uckdH5FX51-9CSX25GPS8vPmkCpHZc-HebagaH0-wYY5n1Yh9LwHyyqYLefm3MxQa_MBmKs1P5wXK1c-Zl9upCOesO28yOEp44GJoywWOtTCKpXizDRWATjrrDQAQnfY-xYQiW3ysVNZkHmC8zICT3INng57vbG9qLOQ_NHqE-FqY0GZw6sLxeI8aYgoEcZmVlqjIxcok4GOXSYAv04EKSjb7bB3hMqE-A1fx5rmmAZ-FGUKSw5Q0uCzQqE6bK9FZdIQX5lcQ7LDXm2akbJoH8rkUKzQBr1sGKK4lM_-fYuXbGcwPRklo-H4eJfdEagn60jpPbaNEILn7La9Ws7KxYtqHHJ2dtMg_wUEU3bf |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLamgYAX7ojCACNAiIeoie0mzgNCY121aqWq1CFNewmOfbJVqpKtaYf6D_hN_DrOyaUTEvC2B15jKxfn8_m-Yx-fw9hbq9MQINNezwShp1yAc06A8IIAALSWKHmrqiWjaDzWx8fxZIv9bM_CUFhlaxMrQ-0KS2vkXcRiTPJYqG7WhEVM-oNP5xceVZCinda2nEYNkUNYf0f3rfw47OO_fifEYP9o78BrKgx4Vkm59EyaKmEihzTdMzimKIac8SGWzqYmyFINUeh8k8U2QjIxEYQq1KSCUi1VpikRE5r_GxH6mOT4TXonm_UdXyK4fVVnRJUy9ruLEtWVFFLJ3ziwKhXwN0KoWG5w738en_vsbqOt-W49GR6wLcgfsttNmfez9SP2o78yc29apcxdLYDv17HzJf9SINxaGuCDGYUQIKdzkzs-IrbnJ96UEn7yMWn8eXN4laPi58M8W1AUP59iw5wfVaH1vA_LKsgt5-bUzFCD8wMwl2u-Ny9WrnzMvl7LQDxh23mRw1PGAxNHWSx0qIVVKkWPNVYBOOusNABCd9iHFhyJbfK0U7mQeYL-GgEpuQJSh73Z9D2vs5P8sddnwtimB2UUry4Ui9OkMVCJMDaz0hoduUCZDHTsMgH4dSJIQdleh70nhCZk9_B1rGmOb-BHUQaxZBelDj4rFKrDdlqEJo1BLJMreHbY600zmjLanzI5FCvsg-wbhig65bN_3-IVu4XYTkbD8eFzdkegzKwDqHfYNiIIXrCb9nI5KxcvqynJ2bfrxvgvevx_wg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Dual-Structure+Elements+Morphological+Filtering+and+Local+Z-Score+Normalization+for+Infrared+Small+Target+Detection+against+Heavy+Clouds&rft.jtitle=Remote+sensing+%28Basel%2C+Switzerland%29&rft.au=Peng%2C+Lingbing&rft.au=L%C3%BC%2C+Zhi&rft.au=Lei%2C+Tao&rft.au=Jiang%2C+Ping&rft.date=2024-07-01&rft.issn=2072-4292&rft.eissn=2072-4292&rft.volume=16&rft.issue=13&rft_id=info:doi/10.3390%2Frs16132343&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2072-4292&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2072-4292&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2072-4292&client=summon |