Riemannian Complex Matrix Convolution Network for PolSAR Image Classification

no code implementations • 6 Dec 2023 • Junfei Shi, Wei Wang, Haiyan Jin, Mengmeng Nie, Shanshan Ji

To learn geometric structure of complex matrix, we propose a Riemannian complex matrix convolution network for PolSAR image classification in Riemannian space for the first time, which directly utilizes the complex matrix as the network input and defines the Riemannian operations to learn complex matrix's features.

Classification Image Classification

Riemannian Nearest-Regularized Subspace Classification for Polarimetric SAR images

no code implementations • 2 Jan 2022 • Junfei Shi, Haiyan Jin

How to utilize the original covariance matrix to NRS method is a key problem.

Classification Image Classification +1

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification

no code implementations • 1 Jul 2015 • Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan

For polarimetric SAR (PolSAR) image classification, it is a challenge to classify the aggregated terrain types, such as the urban area, into semantic homogenous regions due to sharp bright-dark variations in intensity.

General Classification Image Classification