Share Email Print
cover

Proceedings Paper

Hyperspectral data collection for the assessment of target detection algorithms: the Viareggio 2013 trial
Author(s): Alessandro Rossi; Nicola Acito; Marco Diani; Giovanni Corsini; Sergio Ugo De Ceglie; Aldo Riccobono; Leandro Chiarantini
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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 small number 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 hyperspectral data collection of the trial. Four different sites were set up, representing a complex urban scenario, two parking lots and a rural area. Targets with dimensions 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.

Paper Details

Date Published: 13 October 2014
PDF: 14 pages
Proc. SPIE 9250, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II, 92500V (13 October 2014); doi: 10.1117/12.2067313
Show Author Affiliations
Alessandro Rossi, Univ. di Pisa (Italy)
Nicola Acito, Accademia Navale di Livorno (Italy)
Marco Diani, Univ. di Pisa (Italy)
Giovanni Corsini, Univ. di Pisa (Italy)
Sergio Ugo De Ceglie, Ctr. Interforze Studi per le Applicazioni Militari (Italy)
Aldo Riccobono, SELEX ES S.p.A. (Italy)
Leandro Chiarantini, SELEX ES S.p.A. (Italy)


Published in SPIE Proceedings Vol. 9250:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II
Gary Kamerman; Gary J. Bishop; Ainsley Killey; Ove Steinvall; John D. Gonglewski, Editor(s)

© SPIE. Terms of Use
Back to Top