Hyperspectral Image Classification Using Geometric Spatial–Spectral Feature Integration: A Class Incremental Learning Approach-Reference-Cited by-同舟云学术

Hyperspectral Image Classification Using Geometric Spatial–Spectral Feature Integration: A Class Incremental Learning Approach

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Bai Jing¹^ORCID,Liu Ruotong¹,Zhao Haisheng²^ORCID,Xiao Zhu³^ORCID,Chen Zheng¹,Shi Wei¹,Xiong Yong³^ORCID,Jiao Licheng¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China

2. National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation, Qingdao, China

3. College of Computer Science and Electronics Engineering, Hunan University, Changsha, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi Province

National Key Laboratory of Electromagnetic Space Security and Aviation Science Foundation Project

Key Research and Development Project of Hunan Province of China

Science and Technology Project of Hunan Provincial Water Resources Department

Project of State Key Laboratory (SKL) of Remote Sensing Information and Image Analysis Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10319305.pdf?arnumber=10319305

Reference52 articles.

1. Few-Shot Hyperspectral Image Classification Based on Adaptive Subspaces and Feature Transformation

2. Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network

3. Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

4. A Comprehensive Survey on Geometric Deep Learning

5. Essentials for Class Incremental Learning

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