MULTI-TEMPORAL SAR CHANGE DETECTION AND MONITORING
| Autor: | F. Chaabane, S. Hachicha |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Kullback–Leibler divergence Rayleigh distribution business.industry lcsh:T lcsh:TA1501-1820 Pattern recognition Filter (signal processing) lcsh:Technology Image (mathematics) symbols.namesake Geography lcsh:TA1-2040 symbols Preprocessor Artificial intelligence Rayleigh scattering Scale (map) business lcsh:Engineering (General). Civil engineering (General) Change detection Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B7, Pp 293-298 (2012) |
| ISSN: | 2194-9034 |
| Popis: | Multitemporal SAR images are a very useful source of information for a large amount of applications, especially for change detection and monitoring. In this paper, a new SAR change detection and monitoring approach is proposed through the analysis of a time series of SAR images covering the same region. The first step of the method is the SAR filtering preprocessing step using an extension of the spatial NL-means filter to the temporal domain. Then, the Rayleigh Kullback Leibler and the Rayleigh Distribution Ratio measures are combined to detect the changes between a reference image and each SAR image of the time series at both local and global scale. These measures are combined using the Dezert-Smarandache theory which takes into account conflicts between sources and thus enhances the dual change detection results. Finally, a pixel based temporal classification is applied starting from the obtained change maps in order to describe the temporal behaviour of the covered regions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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