Multitemporal change detection for SAR imagery

Christopher John Oliver; Ian McConnell; Douglas G. Corr

doi:10.1117/12.373159

10 December 1999 Multitemporal change detection for SAR imagery

Christopher John Oliver, Ian McConnell, Douglas G. Corr

Proceedings Volume 3869, SAR Image Analysis, Modeling, and Techniques II; (1999) https://doi.org/10.1117/12.373159
Event: Remote Sensing, 1999, Florence, Italy

Abstract

This paper describes an optimized approach to identifying changes within a sequence of ESR images of Heathrow airport. We show that joint annealed segmentation avoids the false detections encountered along the edges of structural features when detecting differences between segmented scenes. This leads to an optimized change detection process, which can be applied in the detection of aircraft and vehicles around the airfield, even though the resolution of ERS image is only 25 m (range) by 6.25 m (azimuth). In addition, we show how joint segmentation of the coherence image between pairs of 35-day repeats yield an appreciable improvement in a false color change representation based on two amplitude images and their coherence image.

Citation Download Citation

Christopher John Oliver, Ian McConnell, and Douglas G. Corr "Multitemporal change detection for SAR imagery", Proc. SPIE 3869, SAR Image Analysis, Modeling, and Techniques II, (10 December 1999); https://doi.org/10.1117/12.373159

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