Hyperspectral target detection assessment using an online evaluation system

Wei Zhu; Qian Du

doi:10.1117/12.850573

12 May 2010 Hyperspectral target detection assessment using an online evaluation system

Wei Zhu; Qian Du

Author Affiliations +

Proceedings Volume 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI; 769524 (2010) https://doi.org/10.1117/12.850573
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Wei Zhu, Wei Zhu, Qian Du, Qian Du, } "Hyperspectral target detection assessment using an online evaluation system", Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769524 (12 May 2010); doi: 10.1117/12.850573; https://doi.org/10.1117/12.850573

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