Grid Network: Feature Extraction in Anisotropic Perspective for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Grid Network: Feature Extraction in Anisotropic Perspective for Hyperspectral Image Classification

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Chen Zhonghao¹^ORCID,Hong Danfeng²^ORCID,Gao Hongmin¹^ORCID

Affiliation:

1. College of Computer and Information, Hohai University, Nanjing, China

2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10189830.pdf?arnumber=10189830

Reference15 articles.

1. MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation

2. HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification

3. Lightweight Spectral–Spatial Attention Network for Hyperspectral Image Classification

4. Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification

5. Adaptive spectral–spatial feature fusion network for hyperspectral image classification using limited training samples;gao;Int J Appl Earth Observ Geoinf,2022

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