Automated airport targets detection and location based on radar imagery

摘要

Because of the influence of speckle noise, it is difficult to extract the edge of the targets and locate the airport automatically in the low SNR real aperture radar imagery by the traditional ways. The paper presents a kind of algorithms that could improve the dependability of the image matching and locate the airport target in the real aperture radar images. At first, the original real aperture radar imagery is enhanced on fuzzy property domain, which makes the airport target more prominent. Then, the airport runway is detected using the Radon transform, and the end points and width of the airport runway are identified using the correlative knowledge of the airport. At last, the airport runway extracted is processed and the airport target is located with the wavelet transform and the least square image matching. The experiment shows that the method could detect and locate the airport target well.