会议论文

英文

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)

2153-6996

2022

1149-1152

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

IEEE International Symposium on Geoscience and Remote Sensing IGARSS

JUL 17-22, 2022

Kuala Lumpur, MALAYSIA

[Deng, Yang-Jun;Zhou, Yi;Zhu, Xing-Hui] Hunan Agr Univ, Coll Informat & Intelligence, Changsha 410128, Peoples R China.^[Wang, Wei-Ye] Chengdu Univ Informat Technol, Sch Software Engn, Chengdu 610225, Peoples R China.^[Li, Heng-Chao] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-6654-2792-0

10.1109/IGARSS46834.2022.9883148

Key Research and Development Project of Hunan Province [2020NK2033]

本校为第一机构

Since hyperspectral image (HSI) is naturally presented as 3D data cube, patch tensor-based graph embedding methods have been widely applied for dimensionality reduction (DR) of HSI. However, these methods are usually developed with the patch tensors generated by the raw data which is inevitably contaminated by noise. To eliminate the negative affects of noise, this paper introduces region covariance descriptor (RCD) to characterize the HSI data and proposes a robust patch tensor-based multigraph embedding (RPTMGE) method for DR of HSI. RPTMGE constructs three types of subgraphs to comprehensiv...