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In this paper, we evaluate three state-of-the-art fog removal algorithms. The goal of the evaluation is to compare which algorithm performs better with regards to human perception; this has not been done in previous works. Two approaches are used to evaluate these algorithms: one is computing the ratio between the gradient of the visible edges in the images(More)
—In order to ensure that SAR scene matching aided navigation system can acquire the position errors and yawing errors simultaneously, we propose an image matching algorithm based on Scale Invariant Feature Transform (SIFT). However, the SIFT is proposed for optical image, and its performance degrades when used in SAR image. To enhance the adaptability of(More)
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