A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors-Reference-Cited by-同舟云学术

A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

Published:2023-09 Issue:5 Volume:72 Page:1703-1720
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Asghari Beirami Behnam,Mokhtarzade Mehdi

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference41 articles.

1. Ahmad, M., Khan, A.M., Mazzara, M., Distefano, S., Roy, S.K. and Wu, X., 2022. Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification. arXiv preprint arXiv:2201.01001.

2. Spatial-spectral classification of hyperspectral images based on extended morphological profiles and guided filter;Beirami;J. Computer Knowledge Eng.,2019

3. Spatial-Spectral Random Patches Network for Classification of Hyperspectral Images;Beirami;Traitement du Signal,2019

4. Classification of Hyperspectral Images based on Intrinsic Image Decomposition and Deep Convolutional Neural Network;Beirami,2020

5. Optimized weighted local kernel features for hyperspectral image classification;Beirami;Multimed. Tools Appl.,2022

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