Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection-Reference-Cited by-同舟云学术

Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection

Published:2023 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhu Dehui¹^ORCID,Du Bo²^ORCID,Zhang Liangpei¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Computer Science, and the Hubei Key Laboratory of Multimedia and Network Communication Engineering, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Science and Technology Major Project of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10032228.pdf?arnumber=10032228

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