@inproceedings{Labiak2011_0,<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Abstract = {Research is ongoing at the Rochester Institute of Technology (RIT) to develop an end-to-end operational tool that will ingest a light detection and ranging (LIDAR) point cloud of a post-disaster scene, and autonomously output a building damage map showing both heavily damaged and collapsed buildings. The tool is being built and tested using LIDAR data of Port-au-Prince, Haiti, collected by RIT just days after the January 2010 earthquake. This research enhances existing algorithms for LIDAR point classification (ground/non-ground), feature classification (buildings, vegetation, roads, etc.), and seeks to develop new algorithms for building damage and debris detection and quantification.},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Address = {Orlando, FL, USA},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Author = {Rick Labiak and Jan A.  van Aardt and Dimitry  Bespalov and Darryl  Eychner and Erin  Wirch and Hans-Peter  Bischoff},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Booktitle = {, SPIE Conference on Laser Radar Technology and Applications XVI},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Keywords = {lidar; building damage; earthquake},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Month = {April},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Number = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Organization = {SPIE},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Pages = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Title = {Automated method for detection and quantification of building damage and debris using post-disaster LiDAR data},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Url = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Volume = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Year = {2011}}