DEEP LEARNING APPROACH FOR FLOOD DETECTION USING SAR IMAGE: A CASE STUDY IN XINXIANG

Zhao, B.; Sui, H.; Xu, C.; Liu, J.

doi:https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1197-2022

Articles | Volume XLIII-B3-2022

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Articles | Volume XLIII-B3-2022

https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1197-2022

Articles | Volume XLIII-B3-2022

Article
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31 May 2022

| 31 May 2022

DEEP LEARNING APPROACH FOR FLOOD DETECTION USING SAR IMAGE: A CASE STUDY IN XINXIANG

B. Zhao, H. Sui, C. Xu, and J. Liu

B. Zhao

State Key Laboratory of Information Engineering in Surveyinsg, Mapping and Remote Sensing, Wuhan University, China

H. Sui

State Key Laboratory of Information Engineering in Surveyinsg, Mapping and Remote Sensing, Wuhan University, China

C. Xu

School of Computer Science, Hubei University of Technology, China

J. Liu

State Key Laboratory of Information Engineering in Surveyinsg, Mapping and Remote Sensing, Wuhan University, China

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LARGE-SCALE FLOOD DETECTION IN THE PEARL RIVER BASIN BASED ON GEE AND TIME-SERIES SENTINEL-1 SAR IMAGES

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DEEP LEARNING APPROACH FOR FLOOD DETECTION USING SAR IMAGE: A CASE STUDY IN XINXIANG

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