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Fine details revealed by synthetic aperture radar (SAR) coherent change detection (CCD), such as foot prints, require SAR imagery with both high resolution and precision. These large data requirements are at odds with the low bandwidths often available for SAR change detection systems such as those that utilize small unmanned aerial vehicles (UAVs). Here we investigate the interplay between SAR data...
We propose a novel approach to motion detection in scenes captured from a camera onboard an aerial vehicle. In particular, we are interested in detecting small objects such as cars or people that move slowly and independently in the scene. Slow motion detection in an aerial video is challenging because it is difficult to differentiate object motion from camera motion. We adopt an unsupervised learning...
Image registration is an important step prior to data fusion from multiple imaging sensors. However, it is challenging because the appearance of the same scene differs in multimodal images. We introduce a robust registration method that establishes landmark correspondences when many outliers exist due to different image appearances in multi-modal images. The proposed matching method leverages the...
We propose an image sharpening method that automatically optimizes the perceived sharpness of an image. Image sharpness is defined in terms of the one-dimensional contrast across region boundaries. Regions are automatically extracted for all natural scales present that are themselves identified automatically. Human judgments are collected and used to learn a function that determines the best sharpening...
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