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Journal articles
Multi-Date Divergence Matrices for the Analysis of SAR Image Time Series
Abstract : The paper provides a spatio-temporal change detection framework for the analysis of image time series. In this framework, the detection of changes in time is addressed at the image level by using a matrix of cross-dissimilarities computed upon wavelet and curvelet image features. This makes possible identifying the acquisitions-of-interest: the acquisitions that exhibit singular behavior with respect to their neighborhood in the time series and those that are representatives of some stationary behavior. These acquisitions-of-interest are compared at the pixel level in order to detect spatial changes characterizing the evolution of the time series. Experiments carried out over ERS and TerraSAR-X time series highlight the relevancy of the approach for analyzing SAR image time series.
Cited literature [23 references]
https://hal.archives-ouvertes.fr/hal-00721877
Contributor : Abdourrahmane Mahamane Atto <>
Submitted on : Monday, July 30, 2012 - 11:50:00 PM
Last modification on : Friday, November 6, 2020 - 3:33:22 AM
Long-term archiving on: : Wednesday, October 31, 2012 - 3:51:01 AM
Contributor : Abdourrahmane Mahamane Atto <>
Submitted on : Monday, July 30, 2012 - 11:50:00 PM
Last modification on : Friday, November 6, 2020 - 3:33:22 AM
Long-term archiving on: : Wednesday, October 31, 2012 - 3:51:01 AM
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