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LDO-ID
2014-07-28-01
Title
Hyperspectral data collection for the assessment of target detection algorithms: the Viareggio 2013 trial
Abstract
Airborne hyperspectral imagery is valuable for military and civilian applications, such as target identification, detection of anomalies and changes within multiple acquisitions. In target detection (TD) applications, the performance assessment of different algorithms is an important and critical issue. In this context, the lack of public available hyperspectral data motivated us to perform an extensive measurement campaign including various operating scenarios. The campaign was organized by CISAM in cooperation with University of Pisa, Selex-ES and CSSN-ITE, and it was conducted in Viareggio, Italy in May, 2013. The Selex ES airborne hyperspectral sensor SIM.GA was mounted on board of an airplane to collect images over different sites in the morning and afternoon of two subsequent days. This paper describes the large multitemporal hyperspectral data collection of the trial. HS data were collected to specifically assess the performance of TD algorithms. Four different sites were set up, representing a complex urban scenario, two parking lots and a rural area. Targets with dimension comparable to the sensor ground resolution were deployed in the sites to reproduce different operating situations. An extensive ground truth documentation completes the data collection. Experiments to test anomalous change detection techniques were set up changing the position of the deployed targets. Search and rescue scenarios were simulated to evaluate the performance of anomaly detection algorithms. Moreover, the reflectance signatures of the targets were measured on the ground to perform spectral matching in varying atmospheric and illumination conditions. The paper presents some preliminary results that show the effectiveness of hyperspectral data exploitation for the object detection tasks of interest in this work.
Authors
Rossi Alessandro, Acito Nicola, Diani Marco, Corsini Giovanni, De Ceglie Sergio Ugo, Riccobono Aldo, Chiarantini Leandro
Type
Paper for Seminar/Symposium/Conference
Media
SPIE 2014 - International Conference on Remote Sensing (22-25 September 2014, Amsterdam, The Netherlands)
Web site
Anno
2014
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2024-04-25T09:57:22Z
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