Change Detection in Heterogeneous Remote Sensing Images Based on an Imaging Modality-Invariant MDS Representation

In this paper, we propose a new multimodal change detection in remote sensing. The proposed method is based on a projection of the two multisensor satellite images to a common feature space, in which the two heterogeneous images share the same statistical properties and on which any classical monomodal change detection methods can be applied. This transformation of the before and after images is mainly based on a Multidimensional Scaling(MDS) representation which can be also viewed as a de-texturing approach of the two multisource images. Experimental results involving different types of imaging techniques confirm the reliability of the proposed approach.

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