Paper
13 September 2004 Methods for recognition of natural and man-made objects using laser radar data
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Abstract
Over the years imaging laser radar systems have been developed for both military and civilian (topographic) applications. Among the applications, 3D data is used for environment modeling and object reconstruction and recognition. The data processing methods are mainly developed separately for military or topographic applications, seldom both application areas are in mind. In this paper, an overview of methods from both areas is presented. First, some of the work on ground surface estimation and classification of natural objects, for example trees, is described. Once natural objects have been detected and classified, we review some of the extensive work on reconstruction and recognition of man-made objects. Primarily we address the reconstruction of buildings and recognition of vehicles. Further, some methods for evaluation of measurement systems and algorithms are described. Models of some types of laser radar systems are reviewed, based on both physical and statistical approaches, for analysis and evaluation of measurement systems and algorithms. The combination of methods for reconstruction of natural and man-made objects is also discussed. By combining methods originating from civilian and military applications, we believe that the tools to analyze a whole scene become available. In this paper we show examples where methods from both application fields are used to analyze a scene.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christina Anna Groenwall, Tomas R. Chevalier, Asa Persson, Magnus Elmqvist, Simon Ahlberg, Lena M. Klasen, and Pierre Andersson "Methods for recognition of natural and man-made objects using laser radar data", Proc. SPIE 5412, Laser Radar Technology and Applications IX, (13 September 2004); https://doi.org/10.1117/12.542055
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Cited by 8 scholarly publications.
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KEYWORDS
Stereolithography

Lithium

LIDAR

Systems modeling

Detection and tracking algorithms

Reconstruction algorithms

3D modeling

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