Abstract
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.
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