The polarimetric features of oil spills in full polarimetric synthetic aperture radar images
The polarimetric features of oil spills in full polarimetric synthetic aperture radar images
复制标题
全偏振合成孔径雷达图像中溢油的偏振特征
DOI:
10.1007/s13131-017-1065-4
复制
发表时间:
2017-05
影响因子:
1.4
通讯作者:
Meng Junmin
中科院分区:
文献类型:
--
作者:
Zheng Honglei;Zhang Yanmin;Wang Yunhua;Zhang Xi;Meng Junmin
Compared with single-polarized synthetic aperture radar (SAR) images, full polarimetric SAR images contain not only geometrical and backward scattering characteristics, but also the polarization features of the scattering targets. Therefore, the polarimetric SAR has more advantages for oil spill detection on the sea surface. As a crucial step in the oil spill detection, a feature extraction directly influences the accuracy of oil spill discrimination. The polarimetric features of sea oil spills, such as polarimetric entropy, average scatter angle, in the full polarimetric SAR images are analyzed firstly. And a new polarimetric parameter P which reflects the proportion between Bragg and specular scattering signals is proposed. In order to investigate the capability of the polarimetric features for observing an oil spill, systematic comparisons and analyses of the multipolarization features are provided on the basis of the full polarimetric SAR images acquired by SIR-C/X-SAR and Radarsat-2. The experiment results show that in C-band SAR images the oil spills can be detected more easily than in L-band SAR images under low to moderate wind speed conditions. Moreover, it also finds that the new polarimetric parameter is sensitive to the sea surface scattering mechanisms. And the experiment results demonstrate that the new polarimetric parameter and pedestal height perform better than other polarimetric parameters for the oil spill detection in the C-band SAR images.
登录
查看更多内容
影响因子:
8.2
作者:
S. Skrunes;C. Brekke;T. Eltoft
通讯作者:
S. Skrunes;C. Brekke;T. Eltoft
影响因子:
8.2
作者:
S. Durden;J. V. Zyl;H. Zebker
通讯作者:
S. Durden;J. V. Zyl;H. Zebker
影响因子:
3.4
作者:
Migliaccio, M.;Nunziata, F.;Gambardella, A.
通讯作者:
Gambardella, A.
DOI:
10.1016/j.isprsjprs.2012.12.007
发表时间:
2013-04-01
影响因子:
12.7
作者:
Nunziata, Ferdinando;Gambardella, Attilio;Migliaccio, Maurizio
通讯作者:
Migliaccio, Maurizio
DOI:
10.1109/igarss.2012.6352270
发表时间:
2012-07
期刊:
2012 IEEE International Geoscience and Remote Sensing Symposium
影响因子:
--
作者:
Arnt-Børre Salberg;Ø. Rudjord;A. Solberg
通讯作者:
Arnt-Børre Salberg;Ø. Rudjord;A. Solberg