Actas de congresos
Strategy to detect ground control in digital images
Fecha
1998-01-01Registro en:
Automatic Target Recognition Viii. Bellingham: Spie-int Soc Optical Engineering, v. 3371, p. 436-447, 1998.
0277-786X
10.1117/12.323861
WOS:000076932900044
Autor
Universidade Estadual Paulista (Unesp)
Institución
Resumen
The identification of ground control on photographs or images is usually carried out by a human operator, who uses his natural skills to make interpretations. In Digital Photogrammetry, which uses techniques of digital image processing extraction of ground control can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features of object space and its homologous in the image space. A build-in self-diagnosis is also used in this method. It is based on implementation of data snooping statistic test in the process of spatial resection using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data.