Combined temporal-differencing with temporal-spectral based detection in longwave infrared hyperspectral imagery

Daniel C. Heinz; Charles E. Davidson; Avishai Ben-David

doi:10.1117/12.816050

27 April 2009 Combined temporal-differencing with temporal-spectral based detection in longwave infrared hyperspectral imagery

Daniel C. Heinz, Charles E. Davidson, Avishai Ben-David

Author Affiliations +

Proceedings Volume 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV; 73341U (2009) https://doi.org/10.1117/12.816050
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Hyperspectral imagery is often visualized as a three-dimensional image cube (two spatial dimensions and one spectral). When a hyperspectral sensor is set to stare at a fixed location a fourth dimension (time) is created as each new cube is sampled in time. In a ground-based stare-mode geometry each new cube has near perfect spatial registration with the previous data cubes. The problem with standard spectral-only hyperspectral detection algorithms is that they do not make effective use of temporal information. In this paper we combine temporal-differencing with temporal-spectral detection algorithms. The temporal-differencing allows for removal of most of the background prior to temporal-spectral detection. The temporal-spectral approaches combine temporal information with standard spectral-only statistical methods. By combining temporal-differencing with temporal-spectral information we are able to significantly improve detector performance and reduce the false alarm rate. We demonstrate the performance of these methods using data from the FIRST (Field-Portable Imaging Radiometric Spectrometer Technology). All the computer simulations and field data experiments show that temporal-differencing improves performance, inclusion of temporal-spectral information improves performance, and that the combination of temporal-differencing with temporal-spectral information greatly improves performance.

Citation Download Citation

Daniel C. Heinz, Charles E. Davidson, and Avishai Ben-David "Combined temporal-differencing with temporal-spectral based detection in longwave infrared hyperspectral imagery", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73341U (27 April 2009); https://doi.org/10.1117/12.816050

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KEYWORDS

Sensors

Detection and tracking algorithms

Signal to noise ratio

Target detection

Signal detection

Infrared imaging

Computer simulations

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