The utility model discloses a integrated method based on multi-
level set evolution and
high resolution remote sensing image partition, classification and change inspection, which is characterized in that (1) image preprocessing (
radiation, registration and filtering); (2) the multi-
level set evolutional partition and classification model, after registration, the GIS data determines the initial profile of each
level set function and performs the partition and classification to the first
phase image; (3) the model described in the (2) is still adopted, and the initial profile of each
level set function is optimized, increment type partition and classification is adopted for the second to T phase; (4) the objective after partition is used as unit, the ith and (i+1)th two adjacent
phase image classification results are compared to determine the change area; (5) return back to (3) until the partition, classification and change inspection of all T
phase image are finished. The utility model has the advantages that: compared with the traditional pixel-oriented K value method, the classification and inspection precision are improved, The utility model is applicable for the change inspection of sequence
remote sensing image and has wide application in
hazard monitoring and land resource investigation.