Object-based InSAR deformation reconstruction with application to bridge monitoring

Deformation monitoring by multi-baseline synthetic aperture radar (SAR) interferometry is so far the only imaging-based method to assess millimeter-level deformation over large areas from space. Past research mostly focused on optimal deformation parameters retrieval on a pixel-basis. Only until recently, the first demonstration of object-based urban infrastructures monitoring by fusing SAR interferometry (InSAR) and the semantic classification labels derived from optical images was presented in [1]–[3]. This paper proposes an algorithm for object-based joint InSAR deformation reconstruction using these classification labels. We derive an object-based multi-baseline InSAR reconstruction model, and propose an efficient algorithm for bridge detection in optical images.