The Method Research Of Match Between Remote Sensing Image And Digital Map And Generation Of Reference Image

Image match is the process of finding the best match position among many images which are produced by variant of sense organs in different times. Image match can be divided into manual and automatic match. Manual match is widely used into practice, but it must waste lots of times to find GCP. It's a bald, wasting-labor, repeated and wasting-time job. When we must finish image match and image analysis with high precision in short time, We need to find a method with highly automatic to match image.In this paper, author concludes the methods and experiences of Remote Sensing image match before, and emphatically research the image match and correction between Remote Sensing Image and Electronic Map. The Electronic Map is scanned into computer. Since the source of the images is different, and there is angle, geometry distortion and even different resolving rate between the images, these factors add the difficulty of image match. In the paper, the author discusses the technology of image feature extracting, image segmentation and image correction for image match, and uses these technologies to the process of image match. In the System, match method is the key factor. The author discusses variant of edge detection factors and chooses the Canny factor which is a multi-scale factor to get the edge of the image, and use the template match for rough result then use the Beyes match for precise result. And use the result for choosing GCP, and correct the image by polynomial method. At the foundation of image match theories, author implement the system using computer language to validate the theory. And the result shows it is effective for practice and produce.