Compression and reinforce variation with convolutional neural networks for hyperspectral image classification-Reference-Cited by-同舟云学术

Compression and reinforce variation with convolutional neural networks for hyperspectral image classification

Published:2022-11 Issue: Volume:130 Page:109650
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

AL-Alimi Dalal^ORCID,Cai Zhihua,Al-qaness Mohammed A.A.^ORCID,Dahou Abdelghani,Alawamy Eman Ahmed,Issaka Sakinatu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference68 articles.

1. Hyperspectral image classification using mixed convolutions and covariance pooling;Zheng;IEEE Trans. Geosci. Remote Sens.,2021

2. Improved nitrogen retrievals with airborne-derived fluorescence and plant traits quantified from VNIR-SWIR hyperspectral imagery in the context of precision agriculture;Camino;Int. J. Appl. Earth Obs. Geoinf.,2018

3. Wheat blast detection and assessment combining ground-based hyperspectral and satellite based multispectral data;Nigam;Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.,2019

4. Hypersectral imaging for military and security applications: Combining myriad processing and sensing techniques;Shimoni;IEEE Geosci. Remote Sens. Mag.,2019

5. An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges;Imani;Inf. Fusion.,2020

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