| Author(s): |
Carrilho, A. C.
;
dos Santos, R. C.
;
Pessoa, G. G.
;
Galo, M.
;
IEEE
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2020 IEEE LATIN AMERICAN GRSS & ISPRS REMOTE SENSING CONFERENCE (LAGIRS); v. N/A, p. 6-pg., 2020-01-01. |
| Abstract | |
Nowadays some aerial surveying projects (both manned or not) might integrate imagery and ranging sensor technology, thus allowing both the reconstruction of the surface from airborne laser scanning (ALS) and from the Photogrammetric pipeline through digital image matching (DIM). DIM algorithms have been continuously improved, therefore comparisons to other techniques such as ALS must be conducted. Despite the scientific community efforts, there are few evaluations regarding the extraction of building roofs using point clouds derived from both ALS and imagery. In this sense, this study provides a brief comparison between ALS and DIM point clouds and the accuracy that can be achieved in surface reconstruction and building roofs extraction. The experiments indicated that in some situations such as the building roof shape extraction, the accuracy is similar between these techniques, however, this is not valid for vertical accuracy, where larger differences were observed. (AU) | |
| FAPESP's process: | 19/05268-8 - REGULARIZATION OF BUILDING ROOF BOUNDARIES FROM LiDAR DATA AND AERIAL IMAGES USING CD-SPLINE CONCEPT |
| Grantee: | Renato César dos Santos |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |