TY - GEN
T1 - Extracting the flood extent from satellite SAR image with the support of topographic data
AU - Yang, Cunjian
AU - Wei, Yiming
AU - Wang, Siyuan
AU - Zhang, Zengxiang
AU - Huang, Shifeng
N1 - Publisher Copyright:
© 2001 IEEE.
PY - 2001
Y1 - 2001
N2 - A satellite SAR image is broadly used in monitoring and evaluating flood disasters. It is difficult to automatically extract the flood extent from RADARSAT SAR images because of the confusion of the gray value between the flood and shade in imagery gray. Therefore, extracting the flood extent from satellite SAR image with the support of digital topographic data is explored here. It included several steps as follows. Firstly, RADARSAT SAR imagery was filtered by enhanced frost filter with window size of 7 pixels by 7 pixels, and geo-registered to the topographic map. Secondly, flood extent was primarily extracted from RADARSAT SAR imagery. Thirdly, DEM was created from the digital topographic data by using GIS software. Fourthly, simulated SAR imagery was created from DEM. Finally, the simulated SAR imagery was registered to RADARSAT SAR imagery, and the shade from the simulated SAR image was used to mask the mislabeled flood extent from RADARSAT SAR due to its shadow influence. It is shown that the flood extent can be accurately, semiautomatically extracted from RADARSAT SAR by the method. It also is shown that the method is not only suitable for RADARSAT SAR imagery, but also suitable for other satellite SAR imagery with the different imaging mode, especially for SAR image covering mountainous area.
AB - A satellite SAR image is broadly used in monitoring and evaluating flood disasters. It is difficult to automatically extract the flood extent from RADARSAT SAR images because of the confusion of the gray value between the flood and shade in imagery gray. Therefore, extracting the flood extent from satellite SAR image with the support of digital topographic data is explored here. It included several steps as follows. Firstly, RADARSAT SAR imagery was filtered by enhanced frost filter with window size of 7 pixels by 7 pixels, and geo-registered to the topographic map. Secondly, flood extent was primarily extracted from RADARSAT SAR imagery. Thirdly, DEM was created from the digital topographic data by using GIS software. Fourthly, simulated SAR imagery was created from DEM. Finally, the simulated SAR imagery was registered to RADARSAT SAR imagery, and the shade from the simulated SAR image was used to mask the mislabeled flood extent from RADARSAT SAR due to its shadow influence. It is shown that the flood extent can be accurately, semiautomatically extracted from RADARSAT SAR by the method. It also is shown that the method is not only suitable for RADARSAT SAR imagery, but also suitable for other satellite SAR imagery with the different imaging mode, especially for SAR image covering mountainous area.
KW - Flood Extent Extraction
KW - RADARSAT SAR Image
KW - Simulated Satellite Radar Image
UR - https://www.scopus.com/pages/publications/84963983797
U2 - 10.1109/ICII.2001.982727
DO - 10.1109/ICII.2001.982727
M3 - Conference contribution
AN - SCOPUS:84963983797
T3 - 2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
SP - 87
EP - 92
BT - 2001 International Conferences on Info-Tech and Info-Net
A2 - Zhong, Y.X.
A2 - Wang, Y.
A2 - Cui, S.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conferences on Info-Tech and Info-Net, ICII 2001
Y2 - 29 October 2001 through 1 November 2001
ER -