Details
| Original language | English |
|---|---|
| Pages (from-to) | 3168-3171 |
| Journal | IEEE Geoscience and Remote Sensing Symposium |
| Publication status | Published - 13 Jul 2014 |
Abstract
Keywords
- Digital Surface Model, satellite data, building reconstruction
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In: IEEE Geoscience and Remote Sensing Symposium, 13.07.2014, p. 3168-3171.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Model-driven 3D building reconstruction based on integeration of DSM and spectral information of satellite images
AU - Partovi, Tahmineh
AU - Krauß, Thomas
AU - Arefi, Hossein
AU - Omidalizarandi, Mohammad
AU - Reinartz, Peter
PY - 2014/7/13
Y1 - 2014/7/13
N2 - Due to the recent improvements in satellite sensors and matching technology, the derivation of 3D models from space borne stereo data attached interests in various applications such as urban planning, telecommunication and tourism. Fully automatic 3D building reconstruction from space borne point cloud data is an active research topic, where the relatively low quality of Digital Surface Models (DSM) generated by stereo matching of satellite data comparing to LiDAR data. In order to establish an efficient method to achieve high quality models and complete automation from the mentioned DSM, a new method based on a model-driven strategy is proposed. For improving the results and better detection of building boundaries and corresponding ridgelines, footprints of the buildings and refined ortho-rectified panchromatic images are utilized as additional information. The presented results are promising, at least for larger buildings.
AB - Due to the recent improvements in satellite sensors and matching technology, the derivation of 3D models from space borne stereo data attached interests in various applications such as urban planning, telecommunication and tourism. Fully automatic 3D building reconstruction from space borne point cloud data is an active research topic, where the relatively low quality of Digital Surface Models (DSM) generated by stereo matching of satellite data comparing to LiDAR data. In order to establish an efficient method to achieve high quality models and complete automation from the mentioned DSM, a new method based on a model-driven strategy is proposed. For improving the results and better detection of building boundaries and corresponding ridgelines, footprints of the buildings and refined ortho-rectified panchromatic images are utilized as additional information. The presented results are promising, at least for larger buildings.
KW - Digital Surface Model, satellite data, building reconstruction
U2 - 10.1109/IGARSS.2014.6947150
DO - 10.1109/IGARSS.2014.6947150
M3 - Conference article
SP - 3168
EP - 3171
JO - IEEE Geoscience and Remote Sensing Symposium
JF - IEEE Geoscience and Remote Sensing Symposium
SN - 2153-7003
ER -