Details
| Originalsprache | Englisch |
|---|---|
| Seitenumfang | 33 |
| Fachzeitschrift | The International Journal of Multimedia & Its Applications (IJMA) |
| Jahrgang | 5 |
| Ausgabenummer | 4 |
| Publikationsstatus | Veröffentlicht - 1 Aug. 2013 |
Abstract
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in: The International Journal of Multimedia & Its Applications (IJMA) , Jahrgang 5, Nr. 4, 01.08.2013.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - SEGMENTATION AND CLASSIFICATION OF POINT CLOUDS FROM DENSE AERIAL IMAGE MATCHING
AU - Omidalizarandi, Mohammad
AU - Saadatseresht, Mohammad
PY - 2013/8/1
Y1 - 2013/8/1
N2 - In the recent years, 3D city reconstruction is one of the active researches in the field of photogrammetry. The goal of this work is to improve and extend surface growing based segmentation in the XYZ image in the form of 3D structured data with combination of spectral information of RGB and grayscale image to extract building roofs, streets and vegetation. In order to process 3D point clouds, hybrid segmentation is carried out in both object space and image space. Our experiments on three case studies verify that updating plane parameters and robust least squares plane fitting improves the results of building extraction especially in case of low accurate point clouds. In addition, region growing in image space has been derived to the fact that grayscale image is more flexible than RGB image and results in more realistic building roofs.
AB - In the recent years, 3D city reconstruction is one of the active researches in the field of photogrammetry. The goal of this work is to improve and extend surface growing based segmentation in the XYZ image in the form of 3D structured data with combination of spectral information of RGB and grayscale image to extract building roofs, streets and vegetation. In order to process 3D point clouds, hybrid segmentation is carried out in both object space and image space. Our experiments on three case studies verify that updating plane parameters and robust least squares plane fitting improves the results of building extraction especially in case of low accurate point clouds. In addition, region growing in image space has been derived to the fact that grayscale image is more flexible than RGB image and results in more realistic building roofs.
KW - Object Surface Segmentation, Image Segmentation, Classification, Region Growing, X-Y-Z Image, Intensity
U2 - 10.5121/ijma.2013.5403
DO - 10.5121/ijma.2013.5403
M3 - Article
VL - 5
JO - The International Journal of Multimedia & Its Applications (IJMA)
JF - The International Journal of Multimedia & Its Applications (IJMA)
IS - 4
ER -