TY - GEN
T1 - Port Detection in Polarimetric SAR Images Based on Three-Component Decomposition
AU - Liu, Chun
AU - Zheng, Jiangbin
AU - Nie, Xuan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/26
Y1 - 2020/9/26
N2 - It is difficult to detect ports in polarimetric SAR images due to the complex components, the variety of contours and the complicated coastal terrains background. A novel port detection method is proposed by extracting the specific water area in port based on three-component decomposition. Firstly, the double-bounce and volume scattering components of terrains are obtained by a modified three-component decomposition. The scattering components of port water are compared with that of normal water. Then water and land are separated by thresholding the volume scattering power. Port water and normal water regions are separated by thresholding a proposed polarimetric parameter related to the double-bounce scattering power. Finally, ports are detected by placing the boundary and thresholding the average double-bounce power of the land in the detected port water region. Three RADARSAT-2 polarimetric SAR data covering the regions of Dalian, Zhanjiang and Fujian in China respectively are used to test the port detection method. Experimental results show that all ports are correctly and fast detected by the proposed method.
AB - It is difficult to detect ports in polarimetric SAR images due to the complex components, the variety of contours and the complicated coastal terrains background. A novel port detection method is proposed by extracting the specific water area in port based on three-component decomposition. Firstly, the double-bounce and volume scattering components of terrains are obtained by a modified three-component decomposition. The scattering components of port water are compared with that of normal water. Then water and land are separated by thresholding the volume scattering power. Port water and normal water regions are separated by thresholding a proposed polarimetric parameter related to the double-bounce scattering power. Finally, ports are detected by placing the boundary and thresholding the average double-bounce power of the land in the detected port water region. Three RADARSAT-2 polarimetric SAR data covering the regions of Dalian, Zhanjiang and Fujian in China respectively are used to test the port detection method. Experimental results show that all ports are correctly and fast detected by the proposed method.
KW - polarimetric SAR
KW - port detection
KW - port water extraction
KW - three-component decomposition
UR - https://www.scopus.com/pages/publications/85102000710
U2 - 10.1109/IGARSS39084.2020.9324730
DO - 10.1109/IGARSS39084.2020.9324730
M3 - 会议稿件
AN - SCOPUS:85102000710
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 734
EP - 737
BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Y2 - 26 September 2020 through 2 October 2020
ER -