摘要：The main goal of this work is to present new tools for automated identification of photographic images of ground targets for aerophotogrametry applications such as aerotriangulation. The identification of the targeted control points images was done by using the concepts of statistical correlation, artificial neural networks and mathematic morphology with emphasis on binary erosion. It was established procedures for identifying automatically common points in a pair of photographs. With the purpose of verifying the consistency of the identified points a fotogrammetric model of the test area was mounted.
其他摘要：The main goal of this work is to present new tools for automated identification of photographic images of ground targets for aerophotogrametry applications such as aerotriangulation. The identification of the targeted control points images was done by using the concepts of statistical correlation, artificial neural networks and mathematic morphology with emphasis on binary erosion. It was established procedures for identifying automatically common points in a pair of photographs. With the purpose of verifying the consistency of the identified points a fotogrammetric model of the test area was mounted.
