Change Detection of Multi-time Remote Sensing Images Based on Statistics Models

An approach for change detection of multi-time remote sensing images based on the theory of probability and statistics is proposed.A new change detection algorithm based on t-test is put forward and it can be combined with correlation coefficient algorithm efficiently.As to high-resolution remote sensing imagery,texture is a crucial feature and an effective measure of texture is introduced in order to enhance change detection results.The robustness of the proposed approach is tested and validated with QuickBird and SPOT satellite images.Experimental results,obtained on two test data sets,prove the validity and application value of the proposed approach.