Xin, Yihao, Luo, Juhua, Xu, Ying, Sun, Zhe, Qi, Tianci, Shen, Ming, Qiu, Yinguo, Xiao, Qitao, Huang, Linsheng, Zhao, Jinling, et al. (2024) SSAVI-GMM: An Automatic Algorithm for Mapping Submerged Aquatic Vegetation in Shallow Lakes Using Sentinel-1 SAR and Sentinel-2 MSI Data. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3489883
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | SSAVI-GMM: An Automatic Algorithm for Mapping Submerged Aquatic Vegetation in Shallow Lakes Using Sentinel-1 SAR and Sentinel-2 MSI Data | ||
Journal | IEEE Transactions on Geoscience and Remote Sensing | ||
Authors | Xin, Yihao | Author | |
Luo, Juhua | Author | ||
Xu, Ying | Author | ||
Sun, Zhe | Author | ||
Qi, Tianci | Author | ||
Shen, Ming | Author | ||
Qiu, Yinguo | Author | ||
Xiao, Qitao | Author | ||
Huang, Linsheng | Author | ||
Zhao, Jinling | Author | ||
Duan, Hongtao | Author | ||
Year | 2024 | Volume | 62 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) | ||
DOI | doi:10.1109/tgrs.2024.3489883Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 17757979 | Long-form Identifier | mindat:1:5:17757979:2 |
GUID | 0 | ||
Full Reference | Xin, Yihao, Luo, Juhua, Xu, Ying, Sun, Zhe, Qi, Tianci, Shen, Ming, Qiu, Yinguo, Xiao, Qitao, Huang, Linsheng, Zhao, Jinling, et al. (2024) SSAVI-GMM: An Automatic Algorithm for Mapping Submerged Aquatic Vegetation in Shallow Lakes Using Sentinel-1 SAR and Sentinel-2 MSI Data. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3489883 | ||
Plain Text | Xin, Yihao, Luo, Juhua, Xu, Ying, Sun, Zhe, Qi, Tianci, Shen, Ming, Qiu, Yinguo, Xiao, Qitao, Huang, Linsheng, Zhao, Jinling, et al. (2024) SSAVI-GMM: An Automatic Algorithm for Mapping Submerged Aquatic Vegetation in Shallow Lakes Using Sentinel-1 SAR and Sentinel-2 MSI Data. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3489883 | ||
In | (2024) IEEE Transactions on Geoscience and Remote Sensing Vol. 62. Institute of Electrical and Electronics Engineers (IEEE) |
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