Airport Extraction of SAR Image Based on Knowledge

The characteristic of airport in the SAR image is analyzed here and a new method for airport extraction from SAR image is created.In the process of the extraction of the new method,it takes the advantage of the knowledge of the feeble back wave of the airport surface.And it improves the fuzzy C-Means(FCM)clustering and uses the improved clustering to segment the airport.It extracts the airport by means of the Hough transform and region growing.Lastly it defines the contrast of gray scale of region(CGSR)and utilizes the knowledge of high value of CGSR between the airport and the circumference of the airport to remove the noise in the extracted airport.It is proved by the tests that the new method given here can well extract the airport and meet the requirements of the airport extraction.