Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification

Published:2015-05 Issue:5 Volume:12 Page:1028-1032
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zisha Zhong ,Bin Fan ,Jiangyong Duan ,Lingfeng Wang ,Kun Ding ,Shiming Xiang ,Chunhong Pan

Funder

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/7031985/06985594.pdf?arnumber=6985594

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1. Three-branch attention deep model for hyperspectral image classification using cross fusion;International Journal of Remote Sensing;2023-02-01

2. Spectral–Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images;IEEE Transactions on Geoscience and Remote Sensing;2023

3. The Tensor Discriminant Ridge Regression Model With Extreme Learning Machine for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

4. Tensor partial least squares for hyperspectral image classification;Geocarto International;2022-10-06

5. Optimal hyperspectral band selection using robust multi-verse optimization algorithm;Multimedia Tools and Applications;2022-10-03

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