Improved covariance equalization for change detection in hyperspectral images

Nofar Piri; Eden Nisanov; Erez Yardeni; Stanley R. Rotman

doi:10.1117/12.2584038

12 April 2021 Improved covariance equalization for change detection in hyperspectral images

Nofar Piri, Eden Nisanov, Erez Yardeni, Stanley R. Rotman

Proceedings Volume 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII; 1172708 (2021) https://doi.org/10.1117/12.2584038
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

This paper will focus on analyzing the Covariance Equalization (CE) change detection algorithm for hyperspectral data. We analyze its weaknesses and suggest a method to improve the algorithm using normalization.

Citation Download Citation

Nofar Piri, Eden Nisanov, Erez Yardeni, and Stanley R. Rotman "Improved covariance equalization for change detection in hyperspectral images", Proc. SPIE 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 1172708 (12 April 2021); https://doi.org/10.1117/12.2584038

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