TY - GEN
T1 - A new Six-Component Decomposition based on New Volume Scattering Models for PolSAR Image
AU - Wang, Xiao
AU - Zhang, Lamei
AU - Zou, Bin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Polarimetric target decomposition is a significant means for feature extraction of PolSAR image, which plays an important role in describing the scattering characteristics, physical structure, composition and other details of grounds. So in this paper, a new volume scattering model is proposed and applied to a new six-component decomposition, which decomposes the coherency matrix into surface scattering, double-bounce scattering, new volume scattering, cross scattering, oriented dipole scattering and compound dipole scattering. The proposed method can effectively improve the decomposition quality of PolSAR image, and its visualization presentation is more accurate than the existing decomposition methods. It is more robust in urban areas, suppress the problem of volume scattering overestimation, describe the complex environment in more detail, and obtain better scattering characteristics of man-made targets. The validity of the proposed method is demonstrated by the data of L-band fully polarimetric ESAR images of Oberpfaffenhofen area, Germany in this paper.
AB - Polarimetric target decomposition is a significant means for feature extraction of PolSAR image, which plays an important role in describing the scattering characteristics, physical structure, composition and other details of grounds. So in this paper, a new volume scattering model is proposed and applied to a new six-component decomposition, which decomposes the coherency matrix into surface scattering, double-bounce scattering, new volume scattering, cross scattering, oriented dipole scattering and compound dipole scattering. The proposed method can effectively improve the decomposition quality of PolSAR image, and its visualization presentation is more accurate than the existing decomposition methods. It is more robust in urban areas, suppress the problem of volume scattering overestimation, describe the complex environment in more detail, and obtain better scattering characteristics of man-made targets. The validity of the proposed method is demonstrated by the data of L-band fully polarimetric ESAR images of Oberpfaffenhofen area, Germany in this paper.
KW - polarimetric SAR volume scattering model
KW - target decomposition
UR - https://www.scopus.com/pages/publications/85181097974
U2 - 10.1109/Radar53847.2021.10028084
DO - 10.1109/Radar53847.2021.10028084
M3 - 会议稿件
AN - SCOPUS:85181097974
T3 - Proceedings of the IEEE Radar Conference
SP - 631
EP - 634
BT - 2021 CIE International Conference on Radar, Radar 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 CIE International Conference on Radar, Radar 2021
Y2 - 15 December 2021 through 19 December 2021
ER -