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24 August 2000 Recognizing occluded MSTAR targets
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Abstract
This paper presents an approach for recognizing occluded vehicle targets in Synthetic Aperture Radar (SAR) images. Using quasi-invariant local features, SAR scattering center locations and magnitudes, a recognition algorithm is presented that successfully recognizes highly occluded versions of actual vehicles from the MSTAR public data. Extensive experimental results are presented to show the effect of occlusion on recognition performance in terms of Probability of Correct Identification, Receiver Operating Characteristic (ROC) curves and confusion matrices. The effect of occlusion on performance of this recognition algorithm is accurately predicted. Combined effects such as occlusion and measured positional noise, as well as occlusion and other observed extended operating conditions (e.g., articulation) are also addressed. Although excellent forced recognition results can be achieved at very high (70%) occlusion, practical limitations are found due to the similarity of unoccluded confuser vehicles to highly occluded targets.
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Bir Bhanu and Grinnell Jones III "Recognizing occluded MSTAR targets", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396348
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