Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 293-297, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W4-293-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
26 Aug 2015
MODEL-BASED BUILDING DETECTION FROM LOW-COST OPTICAL SENSORS ONBOARD UNMANNED AERIAL VEHICLES
K. Karantzalos1, P. Koutsourakis1, I. Kalisperakis2, and L. Grammatikopoulos3 1Remote Sensing Lab., National Technical University of Athens, Athens, Greece
2up2metric PC, Athens, Greece
3Laboratory of Photogrammetry, Technological Educational Institute of Athens, Athens, Greece
Keywords: Extraction, reconstruction, unsupervised, segmentation, bundle adjustment, dense matching, fusion, DSM, DTM Abstract. The automated and cost-effective building detection in ultra high spatial resolution is of major importance for various engineering and smart city applications. To this end, in this paper, a model-based building detection technique has been developed able to extract and reconstruct buildings from UAV aerial imagery and low-cost imaging sensors. In particular, the developed approach through advanced structure from motion, bundle adjustment and dense image matching computes a DSM and a true orthomosaic from the numerous GoPro images which are characterised by important geometric distortions and fish-eye effect. An unsupervised multi-region, graphcut segmentation and a rule-based classification is responsible for delivering the initial multi-class classification map. The DTM is then calculated based on inpaininting and mathematical morphology process. A data fusion process between the detected building from the DSM/DTM and the classification map feeds a grammar-based building reconstruction and scene building are extracted and reconstructed. Preliminary experimental results appear quite promising with the quantitative evaluation indicating detection rates at object level of 88% regarding the correctness and above 75% regarding the detection completeness.
Conference paper (PDF, 6848 KB)


Citation: Karantzalos, K., Koutsourakis, P., Kalisperakis, I., and Grammatikopoulos, L.: MODEL-BASED BUILDING DETECTION FROM LOW-COST OPTICAL SENSORS ONBOARD UNMANNED AERIAL VEHICLES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 293-297, https://doi.org/10.5194/isprsarchives-XL-1-W4-293-2015, 2015.

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