Research on Change Detection of Outdated Map Road Feature Based on Updated High-resolution Remote Sensing Image

This paper researched on change detection of outdated map road feature based on updated high-resolution satellite remote sensing (RS) image. The change of road feature was divided into two parts: one is disappear or partial change; the other is new added. To detect disappear or partial changed road, based on outdated map road feature, this paper put forward methods of multi-scale template matching, restricted by buffer distance and knowledge judge logic; To extract new added road, based on the study of LSB-Snake model, this paper put forward an auto-initial-value LSB-Snake model. Experiments were done using RS images of different resolution and road map of multiple scales, the experiment region including mountain, suburb and central urban. The experiments results indicate that, the average check-out-ratio reached 95%, the average correct-ratio reached 65%. The auto-initial-value LSB-Snake model is more automatically and more robust than the LSB-Snake model. The methods this paper put forward can detect the change of map road feature efficiently.