Comparative study of change detection for reconstruction monitoring based on very high resolution optical data

With the rapid development of remote sensing techniques, change detection plays an important role in urban monitoring. In this paper, difference-based methods are compared and evaluated for reconstruction monitoring of urban area using very high resolution (VHR) optical data, which are classical image differencing, iteratively reweighted multivariate alteration detection (IR-MAD) and IR-MAD incorporating three kinds of textural features. The experimental results show that IR-MAD method incorporating appropriate textural feature can improve IR-MAD to some extent and image differencing has the weakest performance. Compared with manually acquired reference data, the accuracy of the change detection map extracted by IR-MAD combined with textural information is satisfying on the whole.