CHANGE DETECTION FROM PAN-SHARPENED IMAGES : A COMPARATIVE ANALYSIS

In this work we investigate the effects of pansharpening on multitemporal multispectral (MS) and panchromatic (PAN) images for applications of change detection (CD). The rationale of the analysis consists in understanding in what conditions and to which extent the merging process can improve the results of a standard unsupervised method of change detection. In order to properly analyze and study this problem, different multiresolution fusion algorithms are tested to compare the CD results obtained from original MS and PAN data and from spatially enhanced MS data. Several experiments are carried out by applying some fusion techniques to coregistered Quickbird images acquired at different times. From these experiments some interesting conclusions are derived on the effectiveness and the appropriateness of the different investigated multiresolution fusion techniques with respect to the change detection application.

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