Dynamic voxel modeling resolution based on quality assessments from LIDAR path tracing

Shea Hagstrom; Joshua Broadwater

doi:10.1117/12.2179583

19 May 2015 Dynamic voxel modeling resolution based on quality assessments from LIDAR path tracing

Shea Hagstrom, Joshua Broadwater

Proceedings Volume 9465, Laser Radar Technology and Applications XX; and Atmospheric Propagation XII; 94650D (2015) https://doi.org/10.1117/12.2179583
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Airborne LIDAR instruments are capable of delivering high density point clouds, but sampling is inherently uneven in both 2D and 3D space due to collection patterns as well as effects like occlusion. Taking full advantage of the detail available when creating 3D models therefore requires that resolution be adaptable to the amount of localized data. Voxel-based modeling of LIDAR has proven advantageous in many situations, but the traditional use of a fixed grid size prevents full realization of the potential resolution. Allowing voxel sizes to vary across the model using spatial subdivision techniques overcomes this limitation. An important part of this process is defining an appropriate limit of resolution for different sections of a model, and we incorporate information gained through tracing of LIDAR pulses to guide this decision process. Real-world data are used to demonstrate our results, and we show how dynamic resolution voxelization of LIDAR allows for both reduced storage requirements as well as improved modeling flexibility.

Citation Download Citation

Shea Hagstrom and Joshua Broadwater "Dynamic voxel modeling resolution based on quality assessments from LIDAR path tracing", Proc. SPIE 9465, Laser Radar Technology and Applications XX; and Atmospheric Propagation XII, 94650D (19 May 2015); https://doi.org/10.1117/12.2179583

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