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2015-05-29-02
Title
Validation of Forward Modeling Target Detection Approach on a New Hysperpectral Data Set Featuring an Urban Scenario and Variable Illumination Conditions
Abstract
An experimental study is presented with the goal of validating the forward modeling (FM) approach to target detection in hyperspectral images characterized by variable or scarcely known atmospheric and illumination conditions. The study exploits the availability of a new hyperspectral data set acquired in May 2013 over the city of Viareggio, Italy. A physics-based model is assumed for radiation transfer in the atmosphere and variability around nominal acquisition conditions is accounted for by means of multiple executions of a radiative transfer code and a subspace-based target detection framework. Experimental results featuring several ground-truthed targets in an urban scenario confirm the effectiveness of the FM target detection approach.
Authors
Acito Nicola, Corsini Giovanni, Diani Marco, Matteoli Stefania, Riccobono Aldo, Rossi Alessandro
Type
Paper for Seminar/Symposium/Conference
Media
IGARSS 2015 - IEEE International Geoscience and Remote Sensing Symposium (26-31 July 2015, Milan, Italy)
Web site
Anno
2015
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2024-04-20T07:38:11Z
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