A Method for Automatic Information Extraction of Multiangular Aerial Data

The paper presents a method of automatic extraction of multiangular data from multiangular remotely sensed sequential images. In the procedure of extraction, the key problem is multiangular remote sensing registration. The non-linear resampling technology is used to correct systematic geometric distortion caused by wide-angle imaging. We present a method to extract enough ground control points (GCPs) for multiangular image matching. The extracted GCPs are distributed uniformly. One of the problems in multiangular image registration is brightness variation due to differences in viewing angle, bi-directional reflectance variation and atmospheric scattering. An advanced weighted template matching method is presented to remove the differences and the best matching result has been achieved. For the images with local non-linear geometric distortion, surface-fitting function is used as mapping function to improve the registration accuracy. Multiangular data is from directional information of the same target in multi-images. We designed a schedule to register multiangular images sequentially by using interleaved-angular image. We use POLDER airborne simulated multiangular images, which were provided by CNES of France, Aerial data by IRSA, CAS. And have obtained differential angle registered data of targets. The experiment result shows that the method we presented has optional accuracy in practical use for multiangular data analysis