AUTOMATED GRAPH LOCAL CONSTELLATION (GLC) METHOD OF CORRESPONDENCE SEARCH FOR REGISTRATION OF 2-D AND 3-D DATA

摘要

According to an embodiment, a 2-dimensional (2-D) image of a geographical region is transformed via a regional maxima transform (RMT) or an edge segmenting and boundary filling (ESBF) transform to produce a filtered 2-D image. The filtered 2-D image is iteratively eroded and opened to produce a processed EO 2-D image, 2-D object shape morphology is extracted from the processed EO 2-D image, and 2-D shape properties are extracted from the 2-D object shape morphology. A height slice of a 3-dimensional (3-D) point cloud comprising 3-D coordinate and intensity measurements of the geographical region is generated, and slice object shape morphology is extracted from the height slice. Slice shape properties from the slice object shape morphology are extracted, and the 2-D image is constellation matched to the height slice based on the 2-D shape properties and the slice shape properties.

主权项

1. A method for registration of two and three-dimensional (3-D) images, the method comprising:
transforming a 2-dimensional (2-D) image of a geographical region via a regional maxima transform or an edge segmenting and boundary filling (ESBF) transform to produce a filtered 2-D image; iteratively eroding and opening the filtered 2-D image to produce a processed electro-optical (EO) 2-D image; extracting 2-D object shape morphology from the processed EO 2-D image; extracting 2-D shape properties from the 2-D object shape morphology; generating a height slice of a 3-dimensional point cloud comprising 3-D coordinate and intensity measurements of the geographical region; extracting slice object shape morphology from the height slice; extracting slice shape properties from the slice object shape morphology; and constellation matching the 2-D image to the height slice based on the 2-D shape properties and the slice shape properties.