A Survey of Terrain Modeling Technologies and Techniques
Abstract
Test planning, rehearsal, and distributed test events for Future Combat System (FCS) require rapid generation of high-fidelity synthetic environments. These environments consist of high resolution synthetic scenes of test and training images, which use high and low resolution digital terrain surface models, 2-D and 3-D smiace objects and other geospatial data to replicate site conditions. The largest component of developing synthetic 3-D scenes is the commercially available Interferometric Synthetic Aperture Radar (IFSAR) and Light Detection And Ranging (LIDAR) data collected from airborne platforms. These industries are seeing rapid growth in data availability, and numbers and types of sensors, but the commercially available software based to process these types of data to provide high resolution, high accuracy topographic products is limited in its ability to process and produce data quickly and accurately for FCS. This work assessed the fidelity and quality of the commercial digital surface model (DSM) and digital terrain model (DTM) from Intermap; developed algorithms based on automated feature extraction (AFE) for LIDAR data that can be applied to processing IFSAR data (to perform foliage/vegetation removal and building/structure filtering while maintaining accurate terrain profile), and assessed improvements in consfliicn.ng DSM/DTM using the ComputationalConsulting Services (CCS)-developed methods.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2007
- Accession Number
- ADA492698
Entities
People
- J. D. Lashlee
- Jerry Snyder
- Nick Gorkavyi
Organizations
- Engineer Research and Development Center