Visible to the public Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix

TitleAdaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix
Publication TypeJournal Article
Year of Publication2014
AuthorsThu Trang Le, Atto, A.M., Trouvé, E., Nicolas, J.-M.
JournalGeoscience and Remote Sensing Letters, IEEE
Date PublishedOct
Keywordsadaptive filters, adaptive multitemporal SAR image filtering approach, adaptive spatiotemporal neighborhood, CDM, Chamonix-Mont-Blanc test-site, Change detection, change detection matrix, coefficient of variation, coefficient of variation (CV), CV, Filtering, glacier surface evolution, Indexes, matrix algebra, Noise, parking occupation, radar detection, radar imaging, remote sensing, speckle, synthetic aperture radar, synthetic aperture radar (SAR) image time series, temporal adaptive filtering, temporal evolution analysis, TerraSAR-X image acquisition, time series, Time series analysis

This letter presents an adaptive filtering approach of synthetic aperture radar (SAR) image times series based on the analysis of the temporal evolution. First, change detection matrices (CDMs) containing information on changed and unchanged pixels are constructed for each spatial position over the time series by implementing coefficient of variation (CV) cross tests. Afterward, the CDM provides for each pixel in each image an adaptive spatiotemporal neighborhood, which is used to derive the filtered value. The proposed approach is illustrated on a time series of 25 ascending TerraSAR-X images acquired from November 6, 2009 to September 25, 2011 over the Chamonix-Mont-Blanc test-site, which includes different kinds of change, such as parking occupation, glacier surface evolution, etc.

Citation Key6784380