Building Change Detection Based on Similarity Calibration

Rapid development of urban area makes data update more often than ever. Building is an important element of geographical information. So, it is important to detect building changes in urban areas timely. This paper proposes a novel technique for building change detection based upon similarity calibration. In this paper, we define the types of building changes clearly, and introduce how to analyze building changes using similarity calibration. The result of the experiment truly reflects the types and degrees of building changes.