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Proceedings Paper

Effective approaches to in-flight hyperspectral target detection for surveillance applications
Author(s): Nicola Acito; Giovanni Corsini; Marco Diani; Stefania Matteoli
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Paper Abstract

In this work, Spectral Signature-Based Target Detection (SSBTD) as applied to airborne monitoring for surveillance and reconnaissance of ground targets is addressed, and techniques that can help to approach in-flight processing are analyzed from this perspective. In fact, SSBTD is a challenging task from an operating viewpoint, mainly due to the crucial atmospheric compensation step, which is required to make the target measured reflectance comparable to the sensoracquired radiance. Both physics-based radiative transfer modeling techniques and empirical scene-based methods are considered for atmospheric compensation, and their applicability and adaptability to in-flight processing are discussed. Experimental data acquired by a hyperspectral sensor operating in the Visible Near-InfraRed range are employed for analysis. The data consist in multiple images collected during subsequent flights performed over the same scene. Such a situation well reproduces the typical scenario of regularly monitoring an area of interest, and can, therefore, be adopted for examining the aforementioned approaches from an in-flight applicability perspective. Target detection results are analyzed and discussed by examining objective performance measures such as the Receiver Operating Characteristic (ROC) curves.

Paper Details

Date Published: 30 September 2009
PDF: 11 pages
Proc. SPIE 7482, Electro-Optical Remote Sensing, Photonic Technologies, and Applications III, 74820C (30 September 2009); doi: 10.1117/12.830423
Show Author Affiliations
Nicola Acito, Accademia Navale (Italy)
Giovanni Corsini, Univ. di Pisa (Italy)
Marco Diani, Univ. di Pisa (Italy)
Stefania Matteoli, Univ. di Pisa (Italy)

Published in SPIE Proceedings Vol. 7482:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications III
Gary J. Bishop; Keith L. Lewis; Gary W. Kamerman; John D. Gonglewski; Richard C. Hollins; Ove K. Steinvall; Thomas J. Merlet, Editor(s)

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