Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing-Reference-Cited by-同舟云学术

Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing

Author:

Chen Bohan¹^ORCID,Lou Yifei²^ORCID,Bertozzi Andrea L.¹^ORCID,Chanussot Jocelyn³^ORCID

Affiliation:

1. Department of Mathematics, University of California at Los Angeles (UCLA), Los Angeles, CA, USA

2. Department of Mathematics and the School of Data Science and Society, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

3. CNRS, Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Université Grenoble Alpes, Grenoble, France

Funder

MIAI@Grenoble Alpes

UC-National Laboratory In-Residence Graduate Fellowship

NSF CAREER

National Geospatial-Intelligence Agency through the Project “Active Learning Methods on Graphs for Image, Video and Multispectral Datasets”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference63 articles.

2. Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application;wang;arXiv 1309 1541,2013

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