A Multistrategy Evolutionary Multiobjective Optimization Method for Hyperspectral Endmember Extraction
Author:
Affiliation:
1. School of Computer Science, Wuhan University, Wuhan, China
2. School of Information Science and Engineering, University of Jinan, Jinan, China
Funder
National Natural Science Foundation of China
China Yunnan Province Major Science and Technology Special Plan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10247062.pdf?arnumber=10247062
Reference57 articles.
1. A Multi-Attention Autoencoder for Hyperspectral Unmixing Based on the Extended Linear Mixing Model
2. Subspace Vertex Pursuit: A Fast and Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral Unmixing
3. AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
4. Spectral and spatial complexity-based hyperspectral unmixing;jia;IEEE Trans Geosci Remote Sens,2007
5. Hyperspectral sparse unmixing based on a novel adaptive total variation regularization
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