作者: Charles V. Jakowatz , Daniel E. Wahl , Paul H. Eichel , Dennis C. Ghiglia , Paul A. Thompson
DOI: 10.1007/978-1-4613-1333-5_5
关键词: Reflectivity 、 Interferometry 、 Computer vision 、 Coherent imaging 、 Synthetic aperture radar 、 Artificial intelligence 、 Phase noise 、 Computer science 、 Interferometric synthetic aperture radar 、 Phase (waves) 、 Function (mathematics)
摘要: We saw in Chapter 2 that, because it is a coherent imaging system, synthetic aperture radar transduces the complex reflectivity of illuminated scene. This function, however, modulated by phase terms that capture geometry. As result, an interesting possibility arises when two SAR images are made same scene using very close geometries. It becomes possible this case to interfere such way as cancel which common both and recover geometric information contains topography transduced image-domain data. will use acronym IFSAR refer type processing.