Detection of unexploded ordnance using airborne LWIR emissivity signatures

Lévesque, Josée; Puckrin, Eldon; Lahaie, Pierre; Turcotte, Caroline S.

doi:10.1109/igarss.2015.7326973

Cited by 2 publications

(1 citation statement)

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“…The third step is the application of a target detection technique, which can be applied in the spectral emissivity domain [1], or in the spectral radiance domain [5]. Generally, the papers published in this field commonly exploit the hypothesis that the atmosphere is known [6][7][8][9]. In this work, we present a new target detection algorithm that accounts for the spectral variability of the downwelling radiance by means of a subspace-based model (we suppose that the atmospheric correction has been already accomplished).…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for LWIR Hyperspectral Target Detection by Means of a Subspace-Based Approach

Moscadelli

Acito

Diani

et al. 2019

The 15th International Workshop on Advanced Infrared Technology and Applications

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In this work, we present a new approach to detect materials with known spectral emissivity, in data acquired by thermal infrared hyperspectral systems. The method takes into account the spectral variability of the downwelling radiance, commonly neglected in most target detection techniques. We address such variability supposing that the downwelling radiance spans a low-rank subspace, whose basis matrix is learned off-line by means of MODTRAN. We evaluate the performance of the method with simulated data, and present results that show the effectiveness of the proposed algorithm.

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