Hyperspectral change detection with IR-MAD and initial change mask

Prashanth Marpu; Paolo Gamba; Jon A. Benediktsson

doi:10.1109/WHISPERS.2011.6080961

Hyperspectral change detection with IR-MAD and initial change mask

Prashanth Marpu^*, Paolo Gamba, Jon A. Benediktsson

^*Corresponding author for this work

University of Iceland

Research output: Contribution to journal › Conference article › peer-review

5 Citations (Scopus)

Abstract

An adaptation of the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method is presented in this article in the context of hyperspectral change detection. The fact that IR-MAD transformation is invariant to linear transformations is exploited in this work. First, some change pixels are eliminated based on the principal component analysis (PCA) of the difference image and then IR-MAD method is applied to the rest of the pixels after feature reduction using the PCA. The method is demonstrated on a bitemporal hyperspectral dataset. The results show good correlation with ground truth.

Original language	English
Article number	6080961
Journal	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
DOIs	https://doi.org/10.1109/WHISPERS.2011.6080961
Publication status	Published - 2011
Event	3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011 - Lisbon, Portugal Duration: 6 Jun 2011 → 9 Jun 2011

Other keywords

Change detection
IR-MAD
PCA

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10.1109/WHISPERS.2011.6080961

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title = "Hyperspectral change detection with IR-MAD and initial change mask",

abstract = "An adaptation of the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method is presented in this article in the context of hyperspectral change detection. The fact that IR-MAD transformation is invariant to linear transformations is exploited in this work. First, some change pixels are eliminated based on the principal component analysis (PCA) of the difference image and then IR-MAD method is applied to the rest of the pixels after feature reduction using the PCA. The method is demonstrated on a bitemporal hyperspectral dataset. The results show good correlation with ground truth.",

keywords = "Change detection, IR-MAD, PCA",

author = "Prashanth Marpu and Paolo Gamba and Benediktsson, {Jon A.}",

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language = "English",

journal = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",

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AU - Marpu, Prashanth

AU - Gamba, Paolo

AU - Benediktsson, Jon A.

PY - 2011

Y1 - 2011

N2 - An adaptation of the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method is presented in this article in the context of hyperspectral change detection. The fact that IR-MAD transformation is invariant to linear transformations is exploited in this work. First, some change pixels are eliminated based on the principal component analysis (PCA) of the difference image and then IR-MAD method is applied to the rest of the pixels after feature reduction using the PCA. The method is demonstrated on a bitemporal hyperspectral dataset. The results show good correlation with ground truth.

AB - An adaptation of the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method is presented in this article in the context of hyperspectral change detection. The fact that IR-MAD transformation is invariant to linear transformations is exploited in this work. First, some change pixels are eliminated based on the principal component analysis (PCA) of the difference image and then IR-MAD method is applied to the rest of the pixels after feature reduction using the PCA. The method is demonstrated on a bitemporal hyperspectral dataset. The results show good correlation with ground truth.

KW - Change detection

KW - IR-MAD

KW - PCA

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U2 - 10.1109/WHISPERS.2011.6080961

DO - 10.1109/WHISPERS.2011.6080961

M3 - Conference article

AN - SCOPUS:84255170890

JO - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

JF - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

SN - 2158-6276

M1 - 6080961

T2 - 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011

Y2 - 6 June 2011 through 9 June 2011

ER -

Hyperspectral change detection with IR-MAD and initial change mask

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Other keywords

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