PROPOSAL OF SINGULAR-UNIT COMPENSATION IN POLARIMETRIC-INTERFEROMETRIC SYNTHETIC APERTURE PHASOR-QUATERNION NEURAL NETWORKS

被引：0

作者：

Oyama, Kohei ^{[1
]}

Hirose, Akira ^{[1
]}

机构：

[1] Univ Tokyo, Dept Elect Engn & Informat Syst, Tokyo 1138656, Japan

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Polarimetric interferometric synthetic aperture radar (PolInSAR); phase singular point; complex-valued neural network; quaternion neural network; digital elevation model (DEM); LAND CLASSIFICATION; RESTORATION; MODEL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a filtering method to compensate phase singular points (SPs) adaptively by using phase and polarization information around the SPs simultaneously. Phase value is essentially related to polarization changes in scattering as well as propagation. To handle phase and polarization information simultaneously in a consistent manner, we define a new number, phasor quaternion (PQ), by combining complex amplitude and quaternion, with which we construct a theory of phasor quatemion neural networks (PQNNs). Experiments demonstrate that the proposed PQNN filter compensates SPs very effectively.

引用

页码：4439 / 4442

页数：4