Abstract
Change detection is playing more and more important role in remote sensing information processing. However, there are two aspects of shortcoming in existing change detection algorithms. One is that too large amount of raw data is usually needed to implement the change detection. The other is that it is sometimes difficult to acquire enough amount of quantitative information. In this paper, the runway in airport is detected by taking Hough transform in single-band images. The region of interest is then located by region-growing. After a coarse step of calibration, a judgement is made on whether there is change occurring within ROI based on the edge-correlation. Finally, the elastic mask matching procedure is adopted to make an explanation to the changes detected. Satisfactory results are obtained in the experiments.
Published Version
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