A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery
Due to wind-induced waves, dry sand, wet snow, and terrain shadows, the lake extraction from synthetic aperture radar (SAR) imagery in the Qinghai-Tibet plateau is accompanied by false alarms. In this article, a practical plateau lake extraction algorithm combining novel statistical features and Kul...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9167442/ |
| _version_ | 1818438328794480640 |
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| author | Xin Zhou Zhengjia Zhang Qihao Chen Xiuguo Liu |
| author_facet | Xin Zhou Zhengjia Zhang Qihao Chen Xiuguo Liu |
| author_sort | Xin Zhou |
| collection | DOAJ |
| description | Due to wind-induced waves, dry sand, wet snow, and terrain shadows, the lake extraction from synthetic aperture radar (SAR) imagery in the Qinghai-Tibet plateau is accompanied by false alarms. In this article, a practical plateau lake extraction algorithm combining novel statistical features and Kullback-Leibler distance (KLD) using SAR imagery has been proposed. First, a mathematical description for the plateau lake surface called object-based generalized gamma distribution (OGΓD) features has been proposed, which is able to suppress the false alarms by using spatial context information as the large-scale descriptor. Second, the random forest classifier is used to train a multifeature set, including conventional texture features and OGΓD features, and output an initial labeling result. Finally, to suppress the false alarms in the initial lake extraction results, automatic postprocessing based on KLD has been used. The algorithm is tested by several experiments using Sentinel-1 SAR data, performing better than the state-of-the-art algorithms, achieving the overall accuracy of 99.54% while maintaining a false-alarm rate of 0.32%. |
| first_indexed | 2024-12-14T17:38:50Z |
| format | Article |
| id | doaj.art-b36cfbb894644f34a5acb1faaae17f8c |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-14T17:38:50Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-b36cfbb894644f34a5acb1faaae17f8c2022-12-21T22:52:53ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352020-01-01134702471310.1109/JSTARS.2020.30163499167442A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar ImageryXin Zhou0https://orcid.org/0000-0003-1321-510XZhengjia Zhang1Qihao Chen2Xiuguo Liu3https://orcid.org/0000-0002-0045-9642School of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaDue to wind-induced waves, dry sand, wet snow, and terrain shadows, the lake extraction from synthetic aperture radar (SAR) imagery in the Qinghai-Tibet plateau is accompanied by false alarms. In this article, a practical plateau lake extraction algorithm combining novel statistical features and Kullback-Leibler distance (KLD) using SAR imagery has been proposed. First, a mathematical description for the plateau lake surface called object-based generalized gamma distribution (OGΓD) features has been proposed, which is able to suppress the false alarms by using spatial context information as the large-scale descriptor. Second, the random forest classifier is used to train a multifeature set, including conventional texture features and OGΓD features, and output an initial labeling result. Finally, to suppress the false alarms in the initial lake extraction results, automatic postprocessing based on KLD has been used. The algorithm is tested by several experiments using Sentinel-1 SAR data, performing better than the state-of-the-art algorithms, achieving the overall accuracy of 99.54% while maintaining a false-alarm rate of 0.32%.https://ieeexplore.ieee.org/document/9167442/Kullback–Leibler distance (KLD)lake extractionobject-based generalized gamma distribution (OGΓD)Qinghai-Tibet plateau (QTP)synthetic aperture radar (SAR) |
| spellingShingle | Xin Zhou Zhengjia Zhang Qihao Chen Xiuguo Liu A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Kullback–Leibler distance (KLD) lake extraction object-based generalized gamma distribution (OGΓD) Qinghai-Tibet plateau (QTP) synthetic aperture radar (SAR) |
| title | A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery |
| title_full | A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery |
| title_fullStr | A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery |
| title_full_unstemmed | A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery |
| title_short | A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery |
| title_sort | practical plateau lake extraction algorithm combining novel statistical features and kullback x2013 leibler distance using synthetic aperture radar imagery |
| topic | Kullback–Leibler distance (KLD) lake extraction object-based generalized gamma distribution (OGΓD) Qinghai-Tibet plateau (QTP) synthetic aperture radar (SAR) |
| url | https://ieeexplore.ieee.org/document/9167442/ |
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