Bayesian Gaussian Process for Correcting Artifacts from Atmospheric Correction and Sensor Noise - A Performance Evaluation
Author:
Affiliation:
1. University of Virginia,School of Data Science,Charlottesville,VA
2. United States Navy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430415/10430497/10430642.pdf?arnumber=10430642
Reference11 articles.
1. An Overview of AVIRIS-NG Airborne Hyperspectral Science Campaign Over India
2. Introduction to gaussian processes;MacKay;NATO ASI series F computer and systems sciences,1998
3. Target detection in a forest environment using spectral imagery
4. Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data
5. Speed and accuracy improvements in FLAASH atmospheric correction of hyperspectral imagery
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