Shadow-Aware Nonlinear Spectral Unmixing for Hyperspectral Imagery
Author:
Affiliation:
1. Remote Sensing Technology Institute (IMF), German Aerospace Center DLR, Weßling, Germany
2. Imec-Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Belgium
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09815850.pdf?arnumber=9815850
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1. Mapping of Clay Montmorillonite Abundance in Agricultural Fields Using Unmixing Methods at Centimeter Scale Hyperspectral Images;Remote Sensing;2024-08-30
2. Triple shadow multilinear unmixing for near-ground hyperspectral vegetation canopy shadow removal;Computers and Electronics in Agriculture;2024-04
3. Exposure Fusion-Based Shadow-Insensitive Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Introducing DLR Hysu - A Benchmark Dataset for Spectral Unmixing;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
5. Spatial Validation of Spectral Unmixing Results: A Systematic Review;Remote Sensing;2023-05-29
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