Augmented octree-based multisensor image generation models for synthesis of laser radar imagery

Johnathan D. Michel; Nagaraj Nandhakumar

doi:10.1117/12.155092

3 September 1993 Augmented octree-based multisensor image generation models for synthesis of laser radar imagery

Johnathan D. Michel, Nagaraj Nandhakumar

Proceedings Volume 1956, Sensor Fusion and Aerospace Applications; (1993) https://doi.org/10.1117/12.155092
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

An approach for synthesizing laser radar (ladar) images based on three dimensional object models is described. The method is developed within the framework of a volume surface octree-based multi-sensor image generation scheme that also generates visual and thermal imagery. The octree-based approach provides a unified basis for modeling 3-D objects. The octree model of an object is an efficient three dimensional representation, and it is easily constructed from multiple silhouettes of the object. It is shown that the volume surface octree representation is well suited to the generation of laser radar range and reflectance imagery. An appropriate statistical model is used with this model to simulate speckle noise, which allows the synthesis of realistic imagery. Examples of the images produced by this scheme are presented.

Citation Download Citation

Johnathan D. Michel and Nagaraj Nandhakumar "Augmented octree-based multisensor image generation models for synthesis of laser radar imagery", Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); https://doi.org/10.1117/12.155092

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