Research of optimal parameters for parcel-based change detection

摘要

The parcel-based changed detection by adopting the holistic feature can extract the changed parcels in land-use maps[1]. This method of parcel-based change detection uses the holistic feature, which represents each land use parcels clipped by polygons in the land use map with the energy spectrum of WFT and extracts the changed parcels according to the distance threshold between feature vectors associated with pairs of corresponding parcels. In this procedure, a key point is deriving the “Spatial Envelope” feature of each land-use parcel segmented by the land use map, so the three parameters used to calculate this feature will surely influence the descriptor and the change detection results. In this article, we conduct experimental analysis to analyze the influence of different parameters on the results in order to find out the optimal parameters for parcel-based change detection. After comparisons and analysis, we have concluded that the optimal scale number parameter is 4, the optimal angle number parameter is 8 and the optimal block number parameter is 16 blocks(4*4) for parcel-based change detection.