Change Detection for SAR Imagery Using Connected Components Analysis
Artur Gromek , Małgorzata Jenerowicz
AbstractChange detection is the process of identifying differences that have occurred in the terrain situation at different times. One of the main problems related to Land Border Monitoring and detection of changes lies in the terrain accessibility. The Earth Observation (EO) data could allow us to obtain the rapid and reliable change detection information and thus be the particular asset to rational decision-making  by quantification of temporal effects using multitemporal data sets. Following the requirement of G-MOSAIC project (Service for Management of Operations, Situation Awareness and Intelligence for regional Crises)  to provide Border Guard with clear in-the-field situation and thus to provide a support emergency planning an approach to change detection has been tested. In particular, an approach based on Connected Components Analysis is presented. The proposed technique requires the application of image pre-processing scheme to the synthetic aperture radar (SAR) images acquired from the same geographical area, but at different time instances.
|Book||Proceedings of Signal Processing Symposium , 2011|
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