Index for surface coherence (ISC): a method for calculating change susceptibility

Jonathan Tran

doi:10.1117/12.2222185

12 May 2016 Index for surface coherence (ISC): a method for calculating change susceptibility

Jonathan Tran

Proceedings Volume 9829, Radar Sensor Technology XX; 98291N (2016) https://doi.org/10.1117/12.2222185
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Coherent change detection (CCD) provides a way for analysts and detectors to find ephemeral features that would otherwise be invisible in traditional synthetic aperture radar (SAR) imagery. However, CCD can produce false alarms in regions of the image that have low SNR and high vegetation areas. The method proposed looks to eliminate these false alarm regions by creating a mask which can then be applied to change products. This is done by utilizing both the magnitude and coherence feature statistics of a scene. For each feature, the image is segmented into groups of similar pixels called superpixels. The method then utilizes a training phase to model each terrain that the user deems as capable of supporting change and statistically comparing superpixels in the image to the modeled terrain types. Finally, the method combines the features using probabilistic fusion to create a mask that a user can threshold and apply to a change product for human analysis or automatic feature detectors.

Citation Download Citation

Jonathan Tran "Index for surface coherence (ISC): a method for calculating change susceptibility", Proc. SPIE 9829, Radar Sensor Technology XX, 98291N (12 May 2016); https://doi.org/10.1117/12.2222185

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