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Published in 2021 at "Earth Science Informatics"
DOI: 10.1007/s12145-020-00562-6
Abstract: Land cover classification is essential for environmental monitoring, sustainable development goals assessment and other fields. Traditionally, it often takes much time and labor costs to copy and pre-process remote sensing images for performing land cover…
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Keywords:
cover classification;
toolkit;
classification;
land cover ... See more keywords
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Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2016.12.008
Abstract: Abstract Although many advances have been made in past decades, land cover classification of fine-resolution remotely sensed (RS) data integrating multiple temporal, angular, and spectral features remains limited, and the contribution of different RS features…
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Keywords:
cover classification;
classification;
fusion;
land cover ... See more keywords
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Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1468106
Abstract: ABSTRACT Vegetation is an important land-cover type and its growth characteristics have potential for improving land-cover classification accuracy using remote-sensing data. However, due to lack of suitable remote-sensing data, temporal features are difficult to acquire…
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Keywords:
cover classification;
temporal features;
land;
land cover ... See more keywords
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Published in 2021 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2021.1925593
Abstract: Synthetic aperture radar (SAR), with all-day and all-weather observation capabilities, can capture the phenology of crops with short growth cycles to improve land cover classification results. The ...
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Keywords:
capability multitemporal;
sar;
cover classification;
investigation capability ... See more keywords
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Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3032423
Abstract: Development of very-high-resolution (VHR) remote sensing imaging platforms have resulted in a requirement for developing refined land cover classification maps for various applications. Therefore, aiming at exploring the accurate boundary and complex interior texture retrieval…
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Keywords:
land cover;
cover classification;
remote sensing;
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3144587
Abstract: As two of the most widely used remote sensing images, optical and synthetic aperture radar (SAR) images show abundant and complementary information on the same target owing to their individual imaging mechanisms. Consequently, using optical…
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Keywords:
network;
classification;
cover classification;
sar images ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3150430
Abstract: The evolution rules of different land covers show some similarity, which poses a huge challenge for high-accuracy land-cover classification. Therefore, the full extraction of multiscale timing-dependence features is important for mining seasonal and phenological change…
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Keywords:
time;
classification;
series;
cover classification ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3153287
Abstract: High-resolution remote sensing images have the advantage of timeliness, and they can display feature information in more detail. Deep learning embodies its unique characteristics in land cover classification, target recognition, and other fields, which can…
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Keywords:
multifeature information;
land cover;
cover classification;
information ... See more keywords
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1
Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3227911
Abstract: Deep learning technology has become one of the most important technologies in remote sensing land classification applications. Its powerful sample-learning and information-mining abilities promote the continuous improvement of classification accuracy. A large volume of high-quality…
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Keywords:
technology;
sample;
classification;
land ... See more keywords
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Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3238467
Abstract: Hyperspectral imaging technology are widely used in vegetation, agriculture, and other fields, especially in land cover classification of complex scenes. Higher spectral resolution has become the focus of the development of hyperspectral imaging technology for…
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Keywords:
spatial resolution;
fusion;
classification;
cover classification ... See more keywords
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Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3265365
Abstract: Integrating superpixel segmentation into convolutional neural networks is known to be effective in enhancing the accuracy of land-cover classification. However, most of existing methods accomplish such integration by focusing on the development of new network…
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Keywords:
cover classification;
loss;
land cover;