Seasonal detection of coal overburden dump regions in unsupervised manner using landsat 8 OLI/TIRS images at jharia coal fields

Classification and monitoring of surface mining areas have various research challenges. Surface mining produces various land classes such as, quarry, dump, overburden dump, reclamation area, etc. In the past, various land classes of surface mining areas are detected by supervised and semi-supervised...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 28-29; S. 35605 - 35627
Hauptverfasser:	Mukherjee, Jit, Mukherjee, Jayanta, Chakravarty, Debashish, Aikat, Subhash
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Nature B.V
Schlagworte:	1166: Advances of machine learning in data analytics and visual information processing Cluster analysis Clustering Coal mines Coal mining Computer Communication Networks Computer Science Data Structures and Information Theory Image classification Land reclamation Landsat satellites Machine learning Mine reclamation Multimedia Information Systems Overburden River beds Satellite imagery Special Purpose and Application-Based Systems Spectra Strip mining Surface mining Vector quantization Coal overburden region Clay mineral ratio Surface mining K-Means clustering Silhouette score Coal mine index
ISSN:	1380-7501, 1573-7721
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Abstract	Classification and monitoring of surface mining areas have various research challenges. Surface mining produces various land classes such as, quarry, dump, overburden dump, reclamation area, etc. In the past, various land classes of surface mining areas are detected by supervised and semi-supervised machine learning techniques. It has been found challenging to detect such land classes using only spectral responses from satellite images. Coal Mine Index ( CMI ) detects coal quarry and coal dump region as a single land class. These regions have distinct properties as minerals stayed open in such regions. Though coal overburden dump regions also have higher mineral content than various land classes, they show similar spectral characteristics with few bare soil classes in particular with river beds. Hence, it is found more challenging to detect coal overburden regions in an unsupervised manner using spectral information. In this paper, a K-Means clustering in hierarchical fashion has been proposed using CMI values as feature space to detect coal overburden dump regions in automated manner. Yet, this procedure detects coal overburden dump and river beds as a single class. The method is further extended to distinguish river bed regions from coal overburden regions exploiting their distinctive spectral characteristics. The proposed method has average precision and recall of [76.43 % ,62.75 % ], and [70.37 % ,65.63 % ] for coal mine, and overburden dump regions, respectively.
AbstractList	Classification and monitoring of surface mining areas have various research challenges. Surface mining produces various land classes such as, quarry, dump, overburden dump, reclamation area, etc. In the past, various land classes of surface mining areas are detected by supervised and semi-supervised machine learning techniques. It has been found challenging to detect such land classes using only spectral responses from satellite images. Coal Mine Index (CMI) detects coal quarry and coal dump region as a single land class. These regions have distinct properties as minerals stayed open in such regions. Though coal overburden dump regions also have higher mineral content than various land classes, they show similar spectral characteristics with few bare soil classes in particular with river beds. Hence, it is found more challenging to detect coal overburden regions in an unsupervised manner using spectral information. In this paper, a K-Means clustering in hierarchical fashion has been proposed using CMI values as feature space to detect coal overburden dump regions in automated manner. Yet, this procedure detects coal overburden dump and river beds as a single class. The method is further extended to distinguish river bed regions from coal overburden regions exploiting their distinctive spectral characteristics. The proposed method has average precision and recall of [76.43%,62.75%], and [70.37%,65.63%] for coal mine, and overburden dump regions, respectively. Classification and monitoring of surface mining areas have various research challenges. Surface mining produces various land classes such as, quarry, dump, overburden dump, reclamation area, etc. In the past, various land classes of surface mining areas are detected by supervised and semi-supervised machine learning techniques. It has been found challenging to detect such land classes using only spectral responses from satellite images. Coal Mine Index ( CMI ) detects coal quarry and coal dump region as a single land class. These regions have distinct properties as minerals stayed open in such regions. Though coal overburden dump regions also have higher mineral content than various land classes, they show similar spectral characteristics with few bare soil classes in particular with river beds. Hence, it is found more challenging to detect coal overburden regions in an unsupervised manner using spectral information. In this paper, a K-Means clustering in hierarchical fashion has been proposed using CMI values as feature space to detect coal overburden dump regions in automated manner. Yet, this procedure detects coal overburden dump and river beds as a single class. The method is further extended to distinguish river bed regions from coal overburden regions exploiting their distinctive spectral characteristics. The proposed method has average precision and recall of [76.43 % ,62.75 % ], and [70.37 % ,65.63 % ] for coal mine, and overburden dump regions, respectively.
Author	Mukherjee, Jit Aikat, Subhash Mukherjee, Jayanta Chakravarty, Debashish
Author_xml	– sequence: 1 givenname: Jit orcidid: 0000-0001-9045-2091 surname: Mukherjee fullname: Mukherjee, Jit email: jit.mukherjee@iitkgp.ac.in organization: Advanced Technology Development Centre, Indian Institute of Technology – sequence: 2 givenname: Jayanta surname: Mukherjee fullname: Mukherjee, Jayanta organization: Department of Computer Science and Engineering, Indian Institute of Technology – sequence: 3 givenname: Debashish surname: Chakravarty fullname: Chakravarty, Debashish organization: Department of Mining Engineering, Indian Institute of Technology – sequence: 4 givenname: Subhash surname: Aikat fullname: Aikat, Subhash organization: Department of Computer Science and Engineering, Indian Institute of Technology
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Cites_doi	10.1109/JSTARS.2019.2895385 10.1080/10106040802395648 10.1016/j.cviu.2019.04.006 10.1080/01431169608948714 10.5194/isprs-archives-XLII-2-W7-1017-2017 10.1109/TPAMI.2002.1017616 10.1080/10106049.2012.706648 10.1080/14498596.2017.1345666 10.1109/JSTARS.2019.2896842 10.1016/j.envsci.2016.07.011 10.3390/rs10081178 10.1016/j.rse.2016.04.008 10.1016/0169-1368(93)90014-P 10.1016/j.apgeog.2006.09.007 10.1179/1743286313Y.0000000039 10.1007/978-3-030-34869-4_43 10.1109/IGARSS.2019.8898789 10.5721/EuJRS20164951 10.1007/s41095-018-0123-y 10.1109/TPAMI.2008.173 10.1109/CVPR42600.2020.00312 10.1109/TPAMI.2012.120 10.1016/S0034-4257(96)00067-3 10.1145/3293353.3293405 10.1080/01969727408546059 10.1016/j.neucom.2019.04.062 10.1117/1.JRS.11.015025 10.1109/JSTARS.2016.2602390 10.3390/rs13010015 10.1007/s10489-018-1190-6 10.1080/0143116032000160499 10.1080/00288230709510408 10.1080/01431161.2017.1381355 10.3390/rs8060514 10.1080/17480930.2011.608889 10.1016/j.coal.2010.11.010 10.1016/0377-0427(87)90125-7 10.1080/12269328.2012.674430 10.1016/j.coal.2003.03.002 10.1109/CVPR42600.2020.00285 10.1016/S0016-2361(03)00209-6 10.1007/BF03007217 10.1109/IGARSS.2004.1370429 10.1109/TPAMI.1979.4766909 10.1109/ICCV.2019.00887 10.1007/978-3-030-10674-4 10.3390/rs12010082 10.3390/rs70303088 10.1016/j.jenvman.2016.07.070 10.1080/0143116031000150112 10.1109/IGARSS.2018.8517579 10.1080/10106049.2017.1333534 10.1007/BF03017779 10.1080/10106040608542399
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Keywords	Coal overburden region Clay mineral ratio Surface mining K-Means clustering Silhouette score Coal mine index
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References	Zeng, Liu, He, Ma, Wu (CR56) 2017; 11 CR39 CR38 CR37 Petropoulos, Partsinevelos, Mitraka (CR40) 2013; 28 Karan, Samadder (CR25) 2018; 39 Karan, Samadder, Maiti (CR26) 2016; 182 Silleos, Alexandridis, Gitas, Perakis (CR47) 2006; 21 Rai, Paul, Singh (CR43) 2011; 1 Lima, Mitchell, O’Connell, Verhoeven, Van Cappellen (CR30) 2016; 66 Wang, Rich, Price, Kettle (CR55) 2004; 25 CR2 Fu, Zhao, Gu, Yang (CR18) 2019; 356 CR5 Kanungo, Mount, Netanyahu, Piatko, Silverman, Wu (CR23) 2002; 24 CR8 Kuenzer, Zhang, Tetzlaff, Van Dijk, Voigt, Mehl, Wagner (CR27) 2007; 27 CR46 Raval, Merton, Laurence (CR44) 2013; 122 CR42 Zhao, Bo, Hou, Cheng, Rosin (CR58) 2018; 4 Rousseeuw (CR45) 1987; 20 Wan, Deng, Yan (CR54) 2004; 25 Vermote, Justice, Claverie, Franch (CR53) 2016; 185 Li, Chen, Cheng, Wang (CR29) 2016; 8 McFeeters (CR32) 1996; 17 CR17 Aswatha, Mukherjee, Biswas, Aikat (CR4) 2017; 10 CR16 CR59 CR14 Dunn (CR15) 1974; 4 Abualigah, Khader, Hanandeh (CR1) 2018; 48 CR57 Cloutis (CR9) 2003; 82 CR11 CR52 Sinha (CR48) 1986; 14 Huo, Ni, Gao, Zhao, Zhang, Lian, Zhang, Zhang, Jiang, Song, Zhou, Cui (CR22) 2015; 7 CR50 Chen, Li, Wang (CR7) 2020; 12 Karan, Samadder (CR24) 2018; 33 Tracher (CR51) 2004; 59 Cousty, Bertrand, Najman, Couprie (CR10) 2008; 31 Mezned, Dkhala, Abdeljaouad (CR33) 2018; 63 Han, Li, Li (CR21) 2007; 50 Gao, Kerle, Mas (CR20) 2009; 24 Popelková, Mulková (CR41) 2016; 49 Achanta, Shaji, Smith, Lucchi, Fua, Süsstrunk (CR3) 2012; 34 Mukherjee, Mukherjee, Chakravarty (CR35) 2019; 12 CR28 Sinha (CR49) 1987; 15 Demirel, Düzgün, Emil (CR12) 2011; 25 Gao (CR19) 1996; 58 Demirel, Emil, Duzgun (CR13) 2011; 86 Mien (CR34) 2012; 15 Lobo, Souza-Filho, Novo, Carlos, Barbosa (CR31) 2018; 10 Mukherjee, Mukherjee, Chakravarty, Aikat (CR36) 2019; 12 Chen, Li, He, Wang (CR6) 2018; 10 SK Karan (10479_CR25) 2018; 39 EA Cloutis (10479_CR9) 2003; 82 10479_CR39 10479_CR38 N Mezned (10479_CR33) 2018; 63 N Demirel (10479_CR13) 2011; 86 10479_CR37 Y Wan (10479_CR54) 2004; 25 AK Rai (10479_CR43) 2011; 1 X Li (10479_CR29) 2016; 8 SK McFeeters (10479_CR32) 1996; 17 T Kanungo (10479_CR23) 2002; 24 GB Tracher (10479_CR51) 2004; 59 GP Petropoulos (10479_CR40) 2013; 28 LM Abualigah (10479_CR1) 2018; 48 PJ Rousseeuw (10479_CR45) 1987; 20 A Sinha (10479_CR48) 1986; 14 JC Dunn (10479_CR15) 1974; 4 A Sinha (10479_CR49) 1987; 15 SK Karan (10479_CR24) 2018; 33 10479_CR28 S Raval (10479_CR44) 2013; 122 Y Han (10479_CR21) 2007; 50 R Achanta (10479_CR3) 2012; 34 C Kuenzer (10479_CR27) 2007; 27 J Cousty (10479_CR10) 2008; 31 W Chen (10479_CR6) 2018; 10 J Wang (10479_CR55) 2004; 25 W Chen (10479_CR7) 2020; 12 10479_CR8 J Mukherjee (10479_CR35) 2019; 12 J Zhao (10479_CR58) 2018; 4 10479_CR5 10479_CR52 10479_CR11 10479_CR2 10479_CR50 10479_CR17 10479_CR16 NG Silleos (10479_CR47) 2006; 21 10479_CR57 K Fu (10479_CR18) 2019; 356 10479_CR59 10479_CR14 FdL Lobo (10479_CR31) 2018; 10 X Zeng (10479_CR56) 2017; 11 SM Aswatha (10479_CR4) 2017; 10 SK Karan (10479_CR26) 2016; 182 J Mukherjee (10479_CR36) 2019; 12 10479_CR42 T Mien (10479_CR34) 2012; 15 BC Gao (10479_CR19) 1996; 58 H Huo (10479_CR22) 2015; 7 10479_CR46 E Vermote (10479_CR53) 2016; 185 N Demirel (10479_CR12) 2011; 25 Y Gao (10479_CR20) 2009; 24 AT Lima (10479_CR30) 2016; 66 R Popelková (10479_CR41) 2016; 49
References_xml	– volume: 28 start-page: 323 issue: 4 year: 2013 end-page: 342 ident: CR40 article-title: Change detection of surface mining activity and reclamation based on a machine learning approach of multi-temporal landsat tm imagery publication-title: Geocarto International – volume: 86 start-page: 3 issue: 1 year: 2011 end-page: 11 ident: CR13 article-title: Surface coal mine area monitoring using multi-temporal high-resolution satellite imagery publication-title: Int J Coal Geol – volume: 12 start-page: 891 issue: 3 year: 2019 end-page: 897 ident: CR36 article-title: A novel index to detect opencast coal mine areas from landsat 8 oli/tirs publication-title: IEEE J Select Topics Appl Earth Observ Remote Sens – volume: 4 start-page: 95 issue: 1 year: 1974 end-page: 104 ident: CR15 article-title: Well-separated clusters and optimal fuzzy partitions publication-title: J Cybern – volume: 49 start-page: 973 issue: 1 year: 2016 end-page: 1009 ident: CR41 article-title: Multitemporal aerial image analysis for the monitoring of the processes in the landscape affected by deep coal mining publication-title: European J Remote Sens – ident: CR39 – ident: CR16 – volume: 15 start-page: 66 issue: 1 year: 2012 end-page: 70 ident: CR34 article-title: Mine waste water management and treatment in coal mines in vietnam publication-title: Geosystem Eng – ident: CR8 – volume: 24 start-page: 25 issue: 1 year: 2009 end-page: 36 ident: CR20 article-title: Object-based image analysis for coal fire-related land cover mapping in coal mining areas publication-title: Geocarto Int – volume: 356 start-page: 69 year: 2019 end-page: 82 ident: CR18 article-title: Deepside: a general deep framework for salient object detection publication-title: Neurocomputing – volume: 10 start-page: 1178 issue: 8 year: 2018 ident: CR31 article-title: Mapping mining areas in the brazilian amazon using msi/sentinel-2 imagery (2017) publication-title: Remote Sens – volume: 12 start-page: 2550 issue: 7 year: 2019 end-page: 2556 ident: CR35 article-title: Automated seasonal separation of mine and non mine water bodies from landsat 8 oli/tirs using clay mineral and iron oxide ratio publication-title: IEEE J Select Topics Appl Earth Observ Remote Sens doi: 10.1109/JSTARS.2019.2895385 – ident: CR42 – volume: 11 start-page: 015025 issue: 1 year: 2017 ident: CR56 article-title: Detecting surface coal mining areas from remote sensing imagery: An approach based on object-oriented decision trees publication-title: J Appl Remote Sens – volume: 82 start-page: 2239 issue: 18 year: 2003 end-page: 2254 ident: CR9 article-title: Quantitative characterization of coal properties using bidirectional diffuse reflectance spectroscopy publication-title: Fuel – ident: CR46 – volume: 27 start-page: 42 issue: 1 year: 2007 end-page: 62 ident: CR27 article-title: Uncontrolled coal fires and their environmental impacts: Investigating two arid mining regions in north-central china publication-title: Appl Geogr – volume: 17 start-page: 1425 issue: 7 year: 1996 end-page: 1432 ident: CR32 article-title: The use of the normalized difference water index (ndwi) in the delineation of open water features publication-title: Int J Remote Sens – volume: 20 start-page: 53 year: 1987 end-page: 65 ident: CR45 article-title: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis publication-title: J Comput Appl Math – volume: 34 start-page: 2274 issue: 11 year: 2012 end-page: 2282 ident: CR3 article-title: Slic superpixels compared to state-of-the-art superpixel methods publication-title: IEEE Trans Pattern Anal Mach Intel – volume: 25 start-page: 342 issue: 4 year: 2011 end-page: 349 ident: CR12 article-title: Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images publication-title: Int J Mining Reclam Environ – volume: 63 start-page: 135 issue: 1 year: 2018 end-page: 153 ident: CR33 article-title: Multitemporal and multisensory landsat etm+ and oli 8 data for mine waste change detection in northern tunisia publication-title: J Spat Sci – ident: CR50 – ident: CR11 – ident: CR57 – volume: 66 start-page: 227 year: 2016 end-page: 233 ident: CR30 article-title: The legacy of surface mining: Remediation, restoration, reclamation and rehabilitation publication-title: Environ Sci Policy – ident: CR5 – volume: 31 start-page: 1362 issue: 8 year: 2008 end-page: 1374 ident: CR10 article-title: Watershed cuts: Minimum spanning forests and the drop of water principle publication-title: IEEE Trans Pattern Anal Mach Intel – volume: 24 start-page: 881 issue: 7 year: 2002 end-page: 892 ident: CR23 article-title: An efficient k-means clustering algorithm:analysis and implementation publication-title: IEEE Trans Pattern Anal Mach Intel – volume: 25 start-page: 3127 issue: 16 year: 2004 end-page: 3138 ident: CR55 article-title: Relations between NDVI and tree productivity in the central great plains publication-title: Int J Remote Sens – volume: 8 start-page: 514 issue: 6 year: 2016 ident: CR29 article-title: A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ziyuan-3 stereo satellite imagery publication-title: Remote Sens – ident: CR14 – ident: CR2 – ident: CR37 – volume: 4 start-page: 333 issue: 4 year: 2018 end-page: 348 ident: CR58 article-title: Flic: Fast linear iterative clustering with active search publication-title: Computational Visual Media – volume: 10 start-page: 1096 issue: 3 year: 2017 end-page: 1104 ident: CR4 article-title: Toward automated land cover classification in landsat images using spectral slopes at different bands publication-title: IEEE J Sel Topics Appl Earth Observ Remote Sens – volume: 1 start-page: 1350 issue: 6 year: 2011 ident: CR43 article-title: A study on physico chemical properties of overburden dump materials from selected coal mining areas of jharia coalfields, jharkhand, india publication-title: Int J Environ Sci – volume: 21 start-page: 21 issue: 4 year: 2006 end-page: 28 ident: CR47 article-title: Vegetation indices: advances made in biomass estimation and vegetation monitoring in the last 30 years publication-title: Geocarto Int – volume: 50 start-page: 1243 issue: 5 year: 2007 end-page: 1248 ident: CR21 article-title: Vegetation index analysis of multi-source remote sensing data in coal mine wasteland publication-title: N Z J Agric Res – volume: 33 start-page: 1084 issue: 10 year: 2018 end-page: 1094 ident: CR24 article-title: Dual-tree complex wavelet transform-based image enhancement for accurate long-term change assessment in coal mining areas publication-title: Geocarto Int – volume: 7 start-page: 3088 issue: 3 year: 2015 end-page: 3113 ident: CR22 article-title: A study of coal fire propagation with remotely sensed thermal infrared data publication-title: Remote Sens – volume: 39 start-page: 84 issue: 1 year: 2018 end-page: 100 ident: CR25 article-title: Improving accuracy of long-term land-use change in coal mining areas using wavelets and support vector machines publication-title: Int J Remote Sens – volume: 182 start-page: 272 year: 2016 end-page: 283 ident: CR26 article-title: Assessment of the capability of remote sensing and gis techniques for monitoring reclamation success in coal mine degraded lands publication-title: J Environ Manage – volume: 122 start-page: 200 issue: 4 year: 2013 end-page: 207 ident: CR44 article-title: Satellite based mine rehabilitation monitoring using worldview-2 imagery publication-title: Min Technol – volume: 185 start-page: 46 year: 2016 end-page: 56 ident: CR53 article-title: Preliminary analysis of the performance of the landsat 8/oli land surface reflectance product publication-title: Remote Sens Environ – volume: 14 start-page: 1 issue: 1 year: 1986 end-page: 9 ident: CR48 article-title: Spectral reflectance characteristics of soils and its correlation with soil properties and surface conditions publication-title: J Indian Soc Remote Sens – ident: CR38 – ident: CR52 – volume: 25 start-page: 593 issue: 3 year: 2004 end-page: 602 ident: CR54 article-title: Mapping coal fires based on omis1 thermal infrared band image publication-title: Int J Remote Sens – ident: CR17 – volume: 15 start-page: 7 issue: 2 year: 1987 end-page: 11 ident: CR49 article-title: Variations in soil spectral reflectance related to soil moisture, organic matter and particle size publication-title: J Indian Soc Remote Sens – volume: 59 start-page: 7 year: 2004 end-page: 17 ident: CR51 article-title: Coal fire burning out of control around the world: Thermodynamic recipe for environmental catastrophe publication-title: Int J Coal Geol – volume: 48 start-page: 4047 issue: 11 year: 2018 end-page: 4071 ident: CR1 article-title: Hybrid clustering analysis using improved krill herd algorithm publication-title: Appl Intell – volume: 12 start-page: 82 issue: 1 year: 2020 ident: CR7 article-title: Fine land cover classification in an open pit mining area using optimized support vector machine and worldview-3 imagery publication-title: Remote Sens – ident: CR59 – volume: 58 start-page: 257 issue: 3 year: 1996 end-page: 266 ident: CR19 article-title: Ndwi—a normalized difference water index for remote sensing of vegetation liquid water from space publication-title: Remote Sens Environ – ident: CR28 – volume: 10 start-page: 15 issue: 1 year: 2018 ident: CR6 article-title: A review of fine-scale land use and land cover classification in open-pit mining areas by remote sensing techniques publication-title: Remote Sens – volume: 24 start-page: 25 issue: 1 year: 2009 ident: 10479_CR20 publication-title: Geocarto Int doi: 10.1080/10106040802395648 – ident: 10479_CR28 doi: 10.1016/j.cviu.2019.04.006 – volume: 17 start-page: 1425 issue: 7 year: 1996 ident: 10479_CR32 publication-title: Int J Remote Sens doi: 10.1080/01431169608948714 – ident: 10479_CR52 – ident: 10479_CR57 doi: 10.5194/isprs-archives-XLII-2-W7-1017-2017 – volume: 24 start-page: 881 issue: 7 year: 2002 ident: 10479_CR23 publication-title: IEEE Trans Pattern Anal Mach Intel doi: 10.1109/TPAMI.2002.1017616 – volume: 28 start-page: 323 issue: 4 year: 2013 ident: 10479_CR40 publication-title: Geocarto International doi: 10.1080/10106049.2012.706648 – volume: 63 start-page: 135 issue: 1 year: 2018 ident: 10479_CR33 publication-title: J Spat Sci doi: 10.1080/14498596.2017.1345666 – volume: 12 start-page: 891 issue: 3 year: 2019 ident: 10479_CR36 publication-title: IEEE J Select Topics Appl Earth Observ Remote Sens doi: 10.1109/JSTARS.2019.2896842 – volume: 66 start-page: 227 year: 2016 ident: 10479_CR30 publication-title: Environ Sci Policy doi: 10.1016/j.envsci.2016.07.011 – volume: 10 start-page: 1178 issue: 8 year: 2018 ident: 10479_CR31 publication-title: Remote Sens doi: 10.3390/rs10081178 – volume: 185 start-page: 46 year: 2016 ident: 10479_CR53 publication-title: Remote Sens Environ doi: 10.1016/j.rse.2016.04.008 – ident: 10479_CR14 doi: 10.1016/0169-1368(93)90014-P – volume: 27 start-page: 42 issue: 1 year: 2007 ident: 10479_CR27 publication-title: Appl Geogr doi: 10.1016/j.apgeog.2006.09.007 – volume: 122 start-page: 200 issue: 4 year: 2013 ident: 10479_CR44 publication-title: Min Technol doi: 10.1179/1743286313Y.0000000039 – ident: 10479_CR42 – ident: 10479_CR46 – ident: 10479_CR37 doi: 10.1007/978-3-030-34869-4_43 – ident: 10479_CR39 doi: 10.1109/IGARSS.2019.8898789 – volume: 49 start-page: 973 issue: 1 year: 2016 ident: 10479_CR41 publication-title: European J Remote Sens doi: 10.5721/EuJRS20164951 – volume: 4 start-page: 333 issue: 4 year: 2018 ident: 10479_CR58 publication-title: Computational Visual Media doi: 10.1007/s41095-018-0123-y – volume: 31 start-page: 1362 issue: 8 year: 2008 ident: 10479_CR10 publication-title: IEEE Trans Pattern Anal Mach Intel doi: 10.1109/TPAMI.2008.173 – ident: 10479_CR17 doi: 10.1109/CVPR42600.2020.00312 – volume: 34 start-page: 2274 issue: 11 year: 2012 ident: 10479_CR3 publication-title: IEEE Trans Pattern Anal Mach Intel doi: 10.1109/TPAMI.2012.120 – volume: 58 start-page: 257 issue: 3 year: 1996 ident: 10479_CR19 publication-title: Remote Sens Environ doi: 10.1016/S0034-4257(96)00067-3 – ident: 10479_CR5 doi: 10.1145/3293353.3293405 – volume: 4 start-page: 95 issue: 1 year: 1974 ident: 10479_CR15 publication-title: J Cybern doi: 10.1080/01969727408546059 – volume: 356 start-page: 69 year: 2019 ident: 10479_CR18 publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.04.062 – volume: 11 start-page: 015025 issue: 1 year: 2017 ident: 10479_CR56 publication-title: J Appl Remote Sens doi: 10.1117/1.JRS.11.015025 – volume: 1 start-page: 1350 issue: 6 year: 2011 ident: 10479_CR43 publication-title: Int J Environ Sci – volume: 10 start-page: 1096 issue: 3 year: 2017 ident: 10479_CR4 publication-title: IEEE J Sel Topics Appl Earth Observ Remote Sens doi: 10.1109/JSTARS.2016.2602390 – volume: 10 start-page: 15 issue: 1 year: 2018 ident: 10479_CR6 publication-title: Remote Sens doi: 10.3390/rs13010015 – volume: 48 start-page: 4047 issue: 11 year: 2018 ident: 10479_CR1 publication-title: Appl Intell doi: 10.1007/s10489-018-1190-6 – ident: 10479_CR50 – volume: 25 start-page: 3127 issue: 16 year: 2004 ident: 10479_CR55 publication-title: Int J Remote Sens doi: 10.1080/0143116032000160499 – volume: 50 start-page: 1243 issue: 5 year: 2007 ident: 10479_CR21 publication-title: N Z J Agric Res doi: 10.1080/00288230709510408 – volume: 39 start-page: 84 issue: 1 year: 2018 ident: 10479_CR25 publication-title: Int J Remote Sens doi: 10.1080/01431161.2017.1381355 – volume: 8 start-page: 514 issue: 6 year: 2016 ident: 10479_CR29 publication-title: Remote Sens doi: 10.3390/rs8060514 – volume: 25 start-page: 342 issue: 4 year: 2011 ident: 10479_CR12 publication-title: Int J Mining Reclam Environ doi: 10.1080/17480930.2011.608889 – volume: 86 start-page: 3 issue: 1 year: 2011 ident: 10479_CR13 publication-title: Int J Coal Geol doi: 10.1016/j.coal.2010.11.010 – volume: 20 start-page: 53 year: 1987 ident: 10479_CR45 publication-title: J Comput Appl Math doi: 10.1016/0377-0427(87)90125-7 – volume: 15 start-page: 66 issue: 1 year: 2012 ident: 10479_CR34 publication-title: Geosystem Eng doi: 10.1080/12269328.2012.674430 – volume: 59 start-page: 7 year: 2004 ident: 10479_CR51 publication-title: Int J Coal Geol doi: 10.1016/j.coal.2003.03.002 – ident: 10479_CR16 doi: 10.1109/CVPR42600.2020.00285 – volume: 82 start-page: 2239 issue: 18 year: 2003 ident: 10479_CR9 publication-title: Fuel doi: 10.1016/S0016-2361(03)00209-6 – volume: 14 start-page: 1 issue: 1 year: 1986 ident: 10479_CR48 publication-title: J Indian Soc Remote Sens doi: 10.1007/BF03007217 – ident: 10479_CR8 doi: 10.1109/IGARSS.2004.1370429 – ident: 10479_CR11 doi: 10.1109/TPAMI.1979.4766909 – ident: 10479_CR59 doi: 10.1109/ICCV.2019.00887 – ident: 10479_CR2 doi: 10.1007/978-3-030-10674-4 – volume: 12 start-page: 82 issue: 1 year: 2020 ident: 10479_CR7 publication-title: Remote Sens doi: 10.3390/rs12010082 – volume: 7 start-page: 3088 issue: 3 year: 2015 ident: 10479_CR22 publication-title: Remote Sens doi: 10.3390/rs70303088 – volume: 182 start-page: 272 year: 2016 ident: 10479_CR26 publication-title: J Environ Manage doi: 10.1016/j.jenvman.2016.07.070 – volume: 25 start-page: 593 issue: 3 year: 2004 ident: 10479_CR54 publication-title: Int J Remote Sens doi: 10.1080/0143116031000150112 – ident: 10479_CR38 doi: 10.1109/IGARSS.2018.8517579 – volume: 33 start-page: 1084 issue: 10 year: 2018 ident: 10479_CR24 publication-title: Geocarto Int doi: 10.1080/10106049.2017.1333534 – volume: 15 start-page: 7 issue: 2 year: 1987 ident: 10479_CR49 publication-title: J Indian Soc Remote Sens doi: 10.1007/BF03017779 – volume: 12 start-page: 2550 issue: 7 year: 2019 ident: 10479_CR35 publication-title: IEEE J Select Topics Appl Earth Observ Remote Sens doi: 10.1109/JSTARS.2019.2895385 – volume: 21 start-page: 21 issue: 4 year: 2006 ident: 10479_CR47 publication-title: Geocarto Int doi: 10.1080/10106040608542399
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Snippet	Classification and monitoring of surface mining areas have various research challenges. Surface mining produces various land classes such as, quarry, dump,...
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SubjectTerms	1166: Advances of machine learning in data analytics and visual information processing Cluster analysis Clustering Coal mines Coal mining Computer Communication Networks Computer Science Data Structures and Information Theory Image classification Land reclamation Landsat satellites Machine learning Mine reclamation Multimedia Information Systems Overburden River beds Satellite imagery Special Purpose and Application-Based Systems Spectra Strip mining Surface mining Vector quantization
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Title	Seasonal detection of coal overburden dump regions in unsupervised manner using landsat 8 OLI/TIRS images at jharia coal fields
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