Change detection for the urban area based on multiple sensor information fusion

In this paper, change detection for urban area based on multiple sensor information fusion is studied. The images acquired at different times are used to identify the differences during the process of city construction and reconstruction. The proposed method in this paper consists of three steps: image pre-processing and registration, information fusion for multiple sensor images and image change detection. Wavelet packet transform is used in the fusion stage. More detailed features can be extracted by high frequency components as well as low frequency components decomposition. The experiments are carried on optical and SAR images taken at different periods. The results show that the method based on multi-source information fusion can effectively detect changed regions.