Výsledky vyhledávání - "International journal of remote sensing"

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  1. 1

    Implementation of machine-learning classification in remote sensing: an applied review Autor Maxwell, Aaron E., Warner, Timothy A., Fang, Fang

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 03.05.2018
    “…Machine learning offers the potential for effective and efficient classification of remotely sensed imagery. The strengths of machine learning include the…”
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  2. 2

    VIIRS night-time lights Autor Elvidge, Christopher D, Baugh, Kimberly, Zhizhin, Mikhail, Hsu, Feng Chi, Ghosh, Tilottama

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 02.11.2017
    “…The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over…”
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  3. 3

    Land cover 2.0 Autor Wulder, Michael A., Coops, Nicholas C., Roy, David P., White, Joanne C., Hermosilla, Txomin

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 18.06.2018
    “…Interest in knowing more about the Earth's land cover and how it has changed over time motivated the mission and sensor design of early terrestrial remote…”
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  4. 4

    A2-FPN for semantic segmentation of fine-resolution remotely sensed images Autor Li, Rui, Wang, Libo, Zhang, Ce, Duan, Chenxi, Zheng, Shunyi

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 01.02.2022
    “…The thriving development of earth observation technology makes more and more high-resolution remote-sensing images easy to obtain. However, caused by…”
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  5. 5

    Forestry applications of UAVs in Europe: a review Autor Torresan, Chiara, Berton, Andrea, Carotenuto, Federico, Di Gennaro, Salvatore Filippo, Gioli, Beniamino, Matese, Alessandro, Miglietta, Franco, Vagnoli, Carolina, Zaldei, Alessandro, Wallace, Luke

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 19.05.2017
    “…Unmanned aerial vehicles (UAVs) or remotely piloted aircraft systems are new platforms that have been increasingly used over the last decade in Europe to…”
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  6. 6

    What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? Autor Hunt, E. Raymond, Daughtry, Craig S. T.

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 18.08.2018
    “…Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially…”
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  7. 7

    Urban mapping using DMSP/OLS stable night-time light: a review Autor Li, Xuecao, Zhou, Yuyu

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 02.11.2017
    “…The Defense Meteorological Satellite Program/Operational Linescane System (DMSP/OLS) stable night-time light (NTL) data showed great potential in urban extent…”
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  8. 8

    Crop type classification using a combination of optical and radar remote sensing data: a review Autor Orynbaikyzy, Aiym, Gessner, Ursula, Conrad, Christopher

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 02.09.2019
    “…Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years,…”
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  9. 9

    Sentinel-1-based flood mapping: a fully automated processing chain Autor Twele, André, Cao, Wenxi, Plank, Simon, Martinis, Sandro

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: Taylor & Francis 02.07.2016
    “…This article presents an automated Sentinel-1-based processing chain designed for flood detection and monitoring in near-real-time (NRT). Since no user…”
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  10. 10

    Feature extraction for hyperspectral image classification: a review Autor Kumar, Brajesh, Dikshit, Onkar, Gupta, Ashwani, Singh, Manoj Kumar

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 17.08.2020
    “…Hyperspectral image sensors capture surface reflectance over a range of wavelengths. The fine spectral information is recorded in terms of hundreds of bands…”
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    Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification Autor Bera, Somenath, Shrivastava, Vimal K.

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 02.04.2020
    “…Hyperspectral image (HSI) classification is a most challenging task in hyperspectral remote sensing field due to unique characteristics of HSI data. It…”
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  12. 12

    Landslide mapping with remote sensing: challenges and opportunities Autor Zhong, Cheng, Liu, Yue, Gao, Peng, Chen, Wenlong, Li, Hui, Hou, Yong, Nuremanguli, Tuohuti, Ma, Haijian

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 16.02.2020
    “…Landslide mapping is the primary step for landslide investigation and prevention. At present, both the accuracy and the degree of automation of landslide…”
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    Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales Autor Hall-Beyer, Mryka

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 04.03.2017
    “…Texture measurements quantitatively describe relationships of DN values of neighbouring pixels. The output is a continuous measure of spatial information that…”
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  15. 15

    Cattle detection and counting in UAV images based on convolutional neural networks Autor Shao, Wen, Kawakami, Rei, Yoshihashi, Ryota, You, Shaodi, Kawase, Hidemichi, Naemura, Takeshi

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 02.01.2020
    “…For assistance with grazing cattle management, we propose a cattle detection and counting system based on Convolutional Neural Networks (CNNs) using aerial…”
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    An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR Autor Zhou, Guoqing, Li, Weihao, Zhou, Xiang, Tan, Yizhi, Lin, Gangchao, Li, Xianxing, Deng, Ronghua

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: Taylor & Francis 17.12.2021
    “…In bathymetric Airborne LiDAR (Light Detection And Ranging) for the measurement of various water depths, the echo of the laser signal is amplified by an…”
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  17. 17

    Determining tree height and crown diameter from high-resolution UAV imagery Autor Panagiotidis, Dimitrios, Abdollahnejad, Azadeh, Surový, Peter, Chiteculo, Vasco

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 19.05.2017
    “…Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in…”
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  18. 18

    A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery Autor Guo, Hongwei, Huang, Jinhui Jeanne, Chen, Bowen, Guo, Xiaolong, Singh, Vijay P.

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 04.03.2021
    “…Water-quality monitoring for small urban waterbodies by remote sensing gets to be difficult due to the coarse spatial resolution of remote-sensing imagery. The…”
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  19. 19

    A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects Autor Samadzadegan, Farhad, Toosi, Ahmad, Dadrass Javan, Farzaneh

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 01.02.2025
    “…Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial…”
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    UAS, sensors, and data processing in agroforestry: a review towards practical applications Autor Pádua, Luís, Vanko, Jakub, Hruška, Jonáš, Adão, Telmo, Sousa, Joaquim J., Peres, Emanuel, Morais, Raul

    ISSN: 0143-1161, 1366-5901, 1366-5901
    Vydáno: London Taylor & Francis 19.05.2017
    “…The aim of this study is twofold: first, to present a survey of the actual and most advanced methods related to the use of unmanned aerial systems (UASs) that…”
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