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Proceedings Paper

Hyperspectral target detection assessment using an online evaluation system
Author(s): Wei Zhu; Qian Du
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Paper Abstract

In this paper, we evaluate several popular and simple matched-filter-based target detection algorithms using the online accessible HyMap data and ground truth provided by Digital Imaging and Remote Sensing (DIRS) Laboratory at Rochester Institute of Technology, and compare with their regularized versions. Based on both self and blind tests, the performance of these widely used detectors is objectively and fairly compared. Based on our experience, some recommendations for possible system improvements are provided.

Paper Details

Date Published: 13 May 2010
PDF: 8 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769524 (13 May 2010); doi: 10.1117/12.850573
Show Author Affiliations
Wei Zhu, Mississippi State Univ. (United States)
Qian Du, Mississippi State Univ. (United States)


Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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