An Empirical Study on Corner Detection to Extract Buildings in Very High Resolution
نویسنده
چکیده
this paper, we examine the detection of man-made structures in Very High Resolution (VHR) satellite images. The first step of this detection consists of describing the objects' geometry through corners. Not only are corners an important cue for the presence of geometric primitives. They are also essential in forming higher-level shapes like rectangles and polygons through perceptual grouping techniques. In this paper, we examine several corner detectors and compare their performance in terms of detection rate, whereby the corners of interest are those defined by man-made objects. The detectors studied are a gradient-based method based on the Harris detector and the SUSAN detector. Results were analyzed through ROC curves.
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