Object-space based interactive extraction of manmade object from aerial images

摘要

In this paper, the concept of 'interactive extraction' is discussed. A practical semiautomatic system should attend four factors: correctness, robustness, accuracy and interactivity. The paper mainly specifies the adjustment model of object-space based interactive extraction of manmade object from aerial image pair. Through the input points that donate the rough position of the object, it is matched with the object model by the least square template matching, so the corrected parameters describe the object and the coordinates of the object are acquired in object-space directly. A linear object can be described as a sample line in object-space. By matching the edge or road profile template with the initial input curve, it is derived that the adjustment model which expresses the correction of the curve parameters as the erroneous equations between the gray level of the pixel and the best-matched template. To evaluate the ground coordinates of the building corners, the adjustment model is defined as straight edge matching with object-space based geometric constraints. The object-space based geometric model is a flexible framework of extraction of manmade object from space image. The experimental results indicate that the method is ready for practical production.