Improved atmospheric retrievals of hyperspectral data using geometric constraints
Author:
Affiliation:
1. Ball Aerospace & Technologies Corp. (United States)
2. Rochester Institute of Technology (United States)
3. National Air and Space Intelligence Ctr. (United States)
Publisher
SPIE
Reference10 articles.
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4. Adjoint radiosity based algorithms for retrieving target reflectances in urban area shadows;Borel,2008
5. Measurement of atmospheric water vapor using the Airborne Visible/Infrared Imaging Spectrometer;Green,1989
Cited by 2 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. Atmospheric Compensation of Hyperspectral Data: An Overview and Review of In-Scene and Physics-Based Approaches;IEEE Geoscience and Remote Sensing Magazine;2019-06
2. Spectral Variability of Remotely Sensed Target Materials: Causes, Models, and Strategies for Mitigation and Robust Exploitation;IEEE Geoscience and Remote Sensing Magazine;2019-06
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