Understanding target delineation using simple probabilistic modelling

Chris J. Willis

doi:10.1117/12.2193890

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15 October 2015 Understanding target delineation using simple probabilistic modelling

Chris J. Willis

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Proceedings Volume 9643, Image and Signal Processing for Remote Sensing XXI; 96431A (2015) https://doi.org/10.1117/12.2193890
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Performance assessment is carried out for a simple target delineation process based on thresholding and shape fitting. The method uses the information contained in Receiver Operating Characteristic curves together with basic observations regarding target sizes and shapes. Performance is gauged by considering the delineations that might result from having particular arrangements of detected pixels within the vicinity of a hypothesized target. In particular, the method considers the qualities of delineations generated when having various combinations of detected pixels at a number of locations around the inner and outer boundaries of the underlying object. Three distinct types of arrangement for pixels on the inner target boundary are considered. Each has the potential to lead to a good quality delineation in a thresholding and shape fitting scheme. The deleterious effect of false alarms within the surrounding local region is also taken into account. The resulting ensembles of detected pixels are treated using familiar rules for combination to form probabilities for the delineations as a whole. Example results are produced for simple target prototypes in cluttered SAR imagery.

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Chris J. Willis "Understanding target delineation using simple probabilistic modelling", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96431A (15 October 2015); https://doi.org/10.1117/12.2193890

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