AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing-Reference-Cited by-同舟云学术

AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Han Zhu¹^ORCID,Hong Danfeng²^ORCID,Gao Lianru²^ORCID,Zhang Bing³^ORCID,Huang Min²,Chanussot Jocelyn³^ORCID

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, and the International Research Center of Big Data for Sustainable Development Goals, Chinese Academy of Sciences, Beijing, China

2. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

MIAI@Grenoble Alpes

AXA Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09807268.pdf?arnumber=9807268

Reference82 articles.

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3. Tensor Decompositions and Applications

4. SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data Analysis

5. Hyperspectral Subspace Identification

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