Unraveling low abundance intimate mixtures with deep learning-Reference-Cited by-同舟云学术

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Unraveling low abundance intimate mixtures with deep learning

Published:2019-05-14 Issue: Volume: Page:
ISSN:
Container-title:Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
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Author:

Resmini Ronald G.,Christiansen Kevin,Allen David W.

Publisher

SPIE

Reference17 articles.

1. Hybrid Spectral Unmixing: Using Artificial Neural Networks for Linear/Non-Linear Switching

2. A microscene approach to the evaluation of hyperspectral system level performance

3. Microscene evaluation using the Bhattacharyya distance

4. A Neural Network Method for Mixture Estimation for Vegetation Mapping

5. Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Network Learning Of Chemical Bond Representations In Spectral Indices And Features;2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2022-09-13

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