Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds
Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition and undeniable high social status. Tilt and vertical images with the high overlaps and different visual angles can produce a large number of dense matching point clouds...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-06-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W4/109/2015/isprsarchives-XL-7-W4-109-2015.pdf |
| _version_ | 1818914211082797056 |
|---|---|
| author | P. Liu Y. C. Li W. Hu X. B. Ding |
| author_facet | P. Liu Y. C. Li W. Hu X. B. Ding |
| author_sort | P. Liu |
| collection | DOAJ |
| description | Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition
and undeniable high social status. Tilt and vertical images with the high overlaps and different visual angles can produce a large
number of dense matching point clouds data with spectral information. This paper presents a method of buildings reconstruction
with stereo matching dense point clouds from aerial oblique images, which includes segmentation of buildings and reconstruction of
building roofs. We summarize the characteristics of stereo matching point clouds from aerial oblique images and outline the
problems with existing methods. Then we present the method for segmentation of building roofs, which based on colors and
geometrical derivatives such as normal and curvature. Finally, a building reconstruction approach is developed based on the
geometrical relationship. The experiment and analysis show that the methods are effective on building reconstruction with stereo
matching point clouds from aerial oblique images. |
| first_indexed | 2024-12-19T23:42:46Z |
| format | Article |
| id | doaj.art-f7b744a15f8342a8890d92be7ab86f67 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-19T23:42:46Z |
| publishDate | 2015-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-f7b744a15f8342a8890d92be7ab86f672022-12-21T20:01:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-06-01XL-7/W410911210.5194/isprsarchives-XL-7-W4-109-2015Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point CloudsP. Liu0Y. C. Li1W. Hu2X. B. Ding3China TopRS technology Co.Ltd., Beijing, ChinaChina TopRS technology Co.Ltd., Beijing, ChinaChina TopRS technology Co.Ltd., Beijing, ChinaChina TopRS technology Co.Ltd., Beijing, ChinaOblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition and undeniable high social status. Tilt and vertical images with the high overlaps and different visual angles can produce a large number of dense matching point clouds data with spectral information. This paper presents a method of buildings reconstruction with stereo matching dense point clouds from aerial oblique images, which includes segmentation of buildings and reconstruction of building roofs. We summarize the characteristics of stereo matching point clouds from aerial oblique images and outline the problems with existing methods. Then we present the method for segmentation of building roofs, which based on colors and geometrical derivatives such as normal and curvature. Finally, a building reconstruction approach is developed based on the geometrical relationship. The experiment and analysis show that the methods are effective on building reconstruction with stereo matching point clouds from aerial oblique images.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W4/109/2015/isprsarchives-XL-7-W4-109-2015.pdf |
| spellingShingle | P. Liu Y. C. Li W. Hu X. B. Ding Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds |
| title_full | Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds |
| title_fullStr | Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds |
| title_full_unstemmed | Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds |
| title_short | Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds |
| title_sort | segmentation and reconstruction of buildings with aerial oblique photography point clouds |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W4/109/2015/isprsarchives-XL-7-W4-109-2015.pdf |
| work_keys_str_mv | AT pliu segmentationandreconstructionofbuildingswithaerialobliquephotographypointclouds AT ycli segmentationandreconstructionofbuildingswithaerialobliquephotographypointclouds AT whu segmentationandreconstructionofbuildingswithaerialobliquephotographypointclouds AT xbding segmentationandreconstructionofbuildingswithaerialobliquephotographypointclouds |