TY - GEN
T1 - A four-component decomposition model for polarimetric SAR images based on adaptive volume scattering model
AU - Wang, Xiao
AU - Zhang, Lamei
AU - Zhu, Sha
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/31
Y1 - 2018/10/31
N2 - In order to solve the problem of strong echoes caused by cross scattering which still exists in the building area after target decomposition, this paper proposes a four-component decomposition model for Polarimetric SAR image based on adaptive volume scattering. This method decomposes the coherence matrix into surface, double-bounce, cross scattering and adaptive volume scattering, which uses different volume scattering models for buildings to compensate the cross-polarization in the building area. Due to increase dynamic range of the model, this method is more suitable for complex scenes with many types of features, which makes it flexible and adaptable in the decomposition process. The experimental data are the complex covariance format of L-band fully polarimetric ESAR images of Oberpfaffenhofen area, Germany, and the preliminary results shows the feasibility of the algorithm.
AB - In order to solve the problem of strong echoes caused by cross scattering which still exists in the building area after target decomposition, this paper proposes a four-component decomposition model for Polarimetric SAR image based on adaptive volume scattering. This method decomposes the coherence matrix into surface, double-bounce, cross scattering and adaptive volume scattering, which uses different volume scattering models for buildings to compensate the cross-polarization in the building area. Due to increase dynamic range of the model, this method is more suitable for complex scenes with many types of features, which makes it flexible and adaptable in the decomposition process. The experimental data are the complex covariance format of L-band fully polarimetric ESAR images of Oberpfaffenhofen area, Germany, and the preliminary results shows the feasibility of the algorithm.
KW - Adaptive volume scattering model
KW - Polarimetric SAR
KW - Target decomposition
UR - https://www.scopus.com/pages/publications/85064216599
U2 - 10.1109/IGARSS.2018.8519053
DO - 10.1109/IGARSS.2018.8519053
M3 - 会议稿件
AN - SCOPUS:85064216599
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4563
EP - 4566
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -