Band selection of hyperspectral image by sparse manifold clustering
Author:
Affiliation:
1. Advanced Technology Development Center, Indian Institute of Technology KharagpurWest BengalIndia
2. Electrical Engineering DepartmentIndian Institute of Technology KharagpurWest BengalIndia
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5423
Reference57 articles.
1. Hyperspectral Data Processing
2. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
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4. Modified tensor locality preserving projection for dimensionality reduction of hyperspectral images;Deng Y.‐J.;IEEE Geosci. Remote Sens. Lett.,2018
5. Semisupervised sparse manifold discriminative analysis for feature extraction of hyperspectral images;Luo F.;IEEE Trans. Geosci. Remote Sens.,2016
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