Paper
8 December 2004 Characterizing targets and backgrounds for 3D laser radars
Author Affiliations +
Proceedings Volume 5613, Military Remote Sensing; (2004) https://doi.org/10.1117/12.578821
Event: European Symposium on Optics and Photonics for Defence and Security, 2004, London, United Kingdom
Abstract
Exciting development is taking place in 3 D sensing laser radars. Scanning systems are well established for mapping from airborne and ground sensors. 3 D sensing focal plane arrays (FPAs) enable a full range and intensity image can be captured in one laser shot. Gated viewing systems also produces 3 D target information. Many applications for 3 D laser radars are found in robotics, rapid terrain visualization, augmented vision, reconnaissance and target recognition, weapon guidance including aim point selection and others. The net centric warfare will demand high resolution geo-data for a common description of the environment. At FOI we have a measurement program to collect data relevant for 3 D laser radars using airborne and tripod mounted equipment for data collection. Data collection spans from single pixel waveform collection (1 D) over 2 D using range gated imaging to full 3 D imaging using scanning systems. This paper will describe 3 D laser data from different campaigns with emphasis on range distribution and reflections properties for targets and background during different seasonal conditions. Example of the use of the data for system modeling, performance prediction and algorithm development will be given. Different metrics to characterize the data set will also be discussed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ove K. Steinvall, Hakan Larsson, Frank Gustafsson, Tomas R. Chevalier, Asa Persson, and Lena M. Klasen "Characterizing targets and backgrounds for 3D laser radars", Proc. SPIE 5613, Military Remote Sensing, (8 December 2004); https://doi.org/10.1117/12.578821
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Target detection

LIDAR

Vegetation

Reflection

Reflectivity

Sensors

Staring arrays

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