Active Learning for Hyperspectral Image Classification: A comparative review-Reference-Cited by-同舟云学术

Active Learning for Hyperspectral Image Classification: A comparative review

Author:

Thoreau Romain¹^ORCID,Achard Veronique²,Risser Laurent³,Berthelot Beatrice⁴,Briottet Xavier²

Affiliation:

1. Office national d’études et de recherches aérospatiales-Département d’Optique et de Techniques Associées, University of Toulouse, Toulouse, France

2. ONERA-DOTA, University of Toulouse, Toulouse, France

3. Toulouse Mathematics Institute UMR CNRS 5219, University of Toulouse, Toulouse, France

4. Magellium, Ramonville Saint-Agne, France

Funder

AI Interdisciplinary Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

Reference47 articles.

2. Submodularity in data subset selection and active learning;wei;Proc 32nd Int Conf Mach Learn,2015

3. Black box variational inference;ranganath,2013

4. Automated variational inference in probabilistic programming;wingate,2013

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