@inproceedings{9e2ca056572f43b188c7133e39078f79,
title = "Hyperspectral change detection using IR-MAD and feature reduction",
abstract = "A method for change detection between two hyperspectral datasets is presented. The iteratively reweighted multivariate alteration detection (IR-MAD) method is used for change detection. The strong changes are first eliminated based on the principal component analysis (PCA) of the difference image and IR-MAD is applied on the datasets after feature reduction with the PCA of the original bands. The method is demonstrated on a bitemporal hyperspectral dataset. The results show good correlation with ground truth.",
keywords = "IR-MAD, PCA, change detection, hyperspectral",
author = "Prashanth Marpu and Paolo Gamba and Benediktsson, \{Jon A.\}",
year = "2011",
doi = "10.1109/IGARSS.2011.6048907",
language = "English",
isbn = "9781457710056",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "98--101",
booktitle = "2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings",
note = "2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 ; Conference date: 24-07-2011 Through 29-07-2011",
}