A Distribution-Dependent Mumford–Shah Model for Unsupervised Hyperspectral Image Segmentation
Author:
Affiliation:
1. Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany
2. Oden Institute for Computational and Engineering Sciences, The University of Texas at Austin, Austin, TX, USA
Funder
Deutsche Forschungsgemeinschaft
Peter O’Donnell Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09970756.pdf?arnumber=9970756
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5. Mahalanobis distance–based kernel supervised machine learning in spectral dimensionality reduction for hyperspectral imaging remote sensing
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