@inproceedings{a5609ea126e24fb782eb7642245d17bd,
title = "Examining Change Detection Methods for Hyperspectral Data",
abstract = "The requirement for change detection in hyperspectral data appears to be an important and necessary tool in a variety of fields such as military, medical, geology, etc. The main objective of change detection is to observe changes of the probability distribution of a stochastic process. In this paper, we analyze two detection methods which were introduced by Schaum Stocker: chronochrome and covariance equalization. We observe the viability of both methods for when there is misregistration between the images and determine which one is better than the other at finding anomalies.",
keywords = "Chronochrome, Covariance equalization, Hyperspectral imaging, Target detection",
author = "Barak Radomsky and Adi Daniel and Rotman, {Stanley R.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 ; Conference date: 12-12-2018 Through 14-12-2018",
year = "2019",
month = feb,
day = "20",
doi = "10.1109/ICSEE.2018.8646175",
language = "English",
series = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",
address = "United States",
}