Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification

Published:2022 Issue: Volume:15 Page:7741-7754
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Yang Shujun¹^ORCID,Zhang Yu²^ORCID,Jia Yuheng³^ORCID,Zhang Weijia³

Affiliation:

1. Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

3. School of Computer Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

NSFC General

Shenzhen fundamental research program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09861684.pdf?arnumber=9861684