New method to recognize buildings from airborne CCD image

A new method to effectively recognize regular man-made buildings from high resolution airborne CCD image is proposed.The airborne CCD image is rectified systemically and noise in the image is also smoothed in order to provide good quality image.A method in combining laplacian sharpening algorithm with threshold segmentation is adopted to detect edges and connectedness of pixels is used to extract possible building lines.The possible vertexes of building are determined based on cross direction projection and these possible building vertexes are matched with possible building lines to find the best suitable vertexes that belong to the same building.Real airborne CCD image are processed and the result is satisfactory with rate of correct recognition up to 85%.