Articles with "cover classification" as a keyword



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O-LCMapping: a Google Earth Engine-based web toolkit for supporting online land cover classification

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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… read more here.

Keywords: cover classification; toolkit; classification; land cover ... See more keywords

Multi-source remotely sensed data fusion for improving land cover classification

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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… read more here.

Keywords: cover classification; classification; fusion; land cover ... See more keywords
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Land-cover classification using multi-temporal GF-1 wide field view data

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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… read more here.

Keywords: cover classification; temporal features; land; land cover ... See more keywords
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Investigation of the capability of multitemporal RADARSAT-2 fully polarimetric SAR images for land cover classification:a case of Panyu, Guangdong province

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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 ... read more here.

Keywords: capability multitemporal; sar; cover classification; investigation capability ... See more keywords
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Improved Land Cover Classification of VHR Optical Remote Sensing Imagery Based Upon Detail Injection Procedure

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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… read more here.

Keywords: land cover; cover classification; remote sensing;
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CFNet: A Cross Fusion Network for Joint Land Cover Classification Using Optical and SAR Images

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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… read more here.

Keywords: network; classification; cover classification; sar images ... See more keywords
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Land-Cover Classification With Time-Series Remote Sensing Images by Complete Extraction of Multiscale Timing Dependence

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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… read more here.

Keywords: time; classification; series; cover classification ... See more keywords
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A Dual-Channel Fully Convolutional Network for Land Cover Classification Using Multifeature Information

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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… read more here.

Keywords: multifeature information; land cover; cover classification; information ... See more keywords
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High-Confidence Sample Generation Technology and Application for Global Land-Cover Classification

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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… read more here.

Keywords: technology; sample; classification; land ... See more keywords
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Fusing Ultra-Hyperspectral and High Spatial Resolution Information for Land Cover Classification Based on AISAIBIS Sensor and Phase Camera

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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… read more here.

Keywords: spatial resolution; fusion; classification; cover classification ... See more keywords
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Semantic-Aware Region Loss for Land-Cover Classification

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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… read more here.

Keywords: cover classification; loss; land cover;