Feature extraction using voxel aggregation of focused discrete lidar data

Shea Hagstrom; David Messinger; Scott Brown

doi:10.1117/12.849675

29 April 2010 Feature extraction using voxel aggregation of focused discrete lidar data

Shea Hagstrom, David Messinger, Scott Brown

Proceedings Volume 7684, Laser Radar Technology and Applications XV; 76840X (2010) https://doi.org/10.1117/12.849675
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The ability of multiple-return airborne lidar systems to resolve fine details has grown significantly since their introduction, and many modern instruments are capable of footprint sizes under a half meter. Because most systems scan at near-nadir angles, the pulse origin is often ignored and not recorded with the return point cloud data. By recording this additional position information over multiple focused collects we show how properties such as occlusion can be derived using voxel aggregation of the return data. The voxel map allows us to exploit this new information in scenes with significant spatial structure, such as under tree canopies. Results are presented which show the accuracy of our approach under canopies of varying occlusion levels. Our findings are validated using simulated data provided by the Rochester Institute of Technology through the DIRSIG software.

Citation Download Citation

Shea Hagstrom, David Messinger, and Scott Brown "Feature extraction using voxel aggregation of focused discrete lidar data", Proc. SPIE 7684, Laser Radar Technology and Applications XV, 76840X (29 April 2010); https://doi.org/10.1117/12.849675

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