A fusion-based approach to improve hyperspectral images’ classification using metaheuristic band selection-Reference-Cited by-同舟云学术

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A fusion-based approach to improve hyperspectral images’ classification using metaheuristic band selection

Published:2023-11 Issue: Volume:148 Page:110753
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Aghaee Reza,Momeni Mehdi^ORCID,Moallem Payman

Publisher

Elsevier BV

Subject

Software

Reference47 articles.

1. On the mean accuracy of statistical pattern recognizers;Hughes;IEEE Trans. Inform. Theory,1968

2. Hyperspectral band selection: A review;Sun;IEEE Geosci. Remote Sens. Mag.,2019

3. Feature mining for hyperspectral image classification;Jia;Proc. IEEE,2013

4. Constrained band selection for hyperspectral imagery;Chang;IEEE Trans. Geosci. Remote Sens.,2006

5. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images;Feng;Pattern Recognit.,2016

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