ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 147-152, 2012
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/147/2012/
doi:10.5194/isprsannals-I-3-147-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
20 Jul 2012
BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA
J.-C. Michelin, C. Mallet, and N. David IGN, MATIS, 73 avenue de Paris, 94160 Saint-Mandé, France; Université Paris-Est
Keywords: Building, edge, detection, lidar, waveform, line, segmentation, diagnostic Abstract. The full-waveform lidar technology allows a complete access to the information related to the emitted and backscattered laser signals. Although most of the common applications of full-waveform lidar are currently dedicated to the study of forested areas, some recent studies have shown that airborne full-waveform data is relevant for urban area analysis. We extend the field to pattern recognition with a focus on retrieval. Our proposed approach combines two steps. In a first time, building edges are coarsely extracted. Then, a physical model based on the lidar equation is used to retrieve a more accurate position of the estimated edge than the size of the lidar footprint. Another consequence is the estimation of more accurate planimetric positions of the extracted echoes.
Conference paper (PDF, 3801 KB)


Citation: Michelin, J.-C., Mallet, C., and David, N.: BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 147-152, doi:10.5194/isprsannals-I-3-147-2012, 2012.

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