Mr. Eliya Ben Avraham Profile

Eliya Ben Avraham

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Proceedings Article | 12 April 2021 Presentation + Paper

Hyperspectral data cube segmentation analysis in sub-pixel target detection

Eliya Ben Avraham, Stanley Rotman

Proceedings Volume 11727, 1172711 (2021) https://doi.org/10.1117/12.2585067

KEYWORDS: Target detection, Detection and tracking algorithms, Computer simulations, Receivers, Hyperspectral target detection

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Segmentation is useful during sub-pixel target detection in hyperspectral data. Previous works have showed that improving performance in sub-pixel target detection can be achieved by making better estimates of the covariance matrix by using segmentation. One of the challenges mentioned was that pixel assignment has been influenced by the target, and therefore a reassignment after segmentation was needed. We examined and compared several methods to deal with this challenge before the segmentation process, as well as to check if this was essential for our algorithm’s success. Using simulations and several analytical tools we analyzed the matched-filter algorithm, both with and without segmentation, and compare performances of the receiver operating characteristic curves. We found there is no need to perform reassignment after segmentation; segmentation is effective even with the presence of the target in the examined pixel.

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