Spectral Unmixing for End Member Extraction and Abundance Estimation-Reference-Cited by-同舟云学术

Spectral Unmixing for End Member Extraction and Abundance Estimation

Published:2023-01-27 Issue: Volume: Page:
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Container-title:2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

Khan Atiya¹,Vibhute Amol D.²,Patil C. H.¹,Mali Shankar¹

Affiliation:

1. School of Computer Science, Dr. Vishwanath Karad MIT World Peace University,Pune,MH,India

2. Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University),Pune,MH,India,411016

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10090461/10090462/10090877.pdf?arnumber=10090877

Reference37 articles.

1. Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 12374;yao;LNCS,2020

2. New evolving ensemble classifier for handling concept drifting data streams

3. Hyperspectral Unmixing via Deep Convolutional Neural Networks

4. A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications

5. DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing

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