Unsupervised hyperspectral band selection by combination of unmixing and sequential clustering techniques
Author:
Affiliation:
1. Centre des Techniques Spatiales, Arzew, Algeria
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2018.1549511
Reference39 articles.
1. Unsupervised Hyperspectral Band Selection by Sequential Clustering
2. A Band Selection Technique for Spectral Classification
3. Hyperspectral Subspace Identification
4. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
5. A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability
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