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High-fidelity ladar simulation
Author(s) -
Rastislav J. Telgarsky,
Michael C. Cates,
C.D. Thompson,
John N. Sanders-Reed
Publication year - 2004
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.538609
Subject(s) - lidar , computer science , modular design , fidelity , feature extraction , transmitter , artificial intelligence , high fidelity , feature (linguistics) , signal processing , computer vision , image processing , identification (biology) , signal (programming language) , image (mathematics) , pattern recognition (psychology) , radar , remote sensing , telecommunications , engineering , channel (broadcasting) , linguistics , philosophy , electrical engineering , geology , operating system , botany , biology , programming language
The ability to extract target features from a ladar Range Resolved Doppler Image (RRDI) can enable target detection, identification, discrimination, and status assessment. Extraction of these features depends on the image processing algorithms, target characteristics, and image quality. The latter in turn depends on ladar transmitter and receiver characteristics, propagation effects, target/beam interactions, and receiver signal processing. In order to develop hardware systems and processing algorithms for a specific application, it is necessary to understand how these factors interact. A modular, high fidelity ladar simulation has been developed which provides modeling of each step from transmitter, through feature extraction.

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