Dimensionality reduction and classification for hyperspectral image based on robust supervised ISOMAP
Author:
Affiliation:
1. School of Economics and Management, Liaoning Petrochemical University, Fushun, Liaoning, Province, China
2. School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland, UK
Funder
Talent Scientific Research Fund of LNPU
Scientific Research Fund Project from Education Department of Liaoning Province
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681015.2021.1952657
Reference46 articles.
1. Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery
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3. Hyperspectral image clustering with Albedo recovery Fuzzy C-Means
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