2015
DOI: 10.3788/lop52.111101
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Design and Implement of Space-Based Target Imaging Simulation System

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Cited by 2 publications
(4 citation statements)
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“…Compared to the hardware acceleration method mentioned in the literature [14,15], our proposed method enables a complex scene simulation without relying on expensive GPU resources. A comparative analysis with the BRDF method [10] and Phong's method [11] reveals that our proposed method exhibits superior simulation efficiency for ground object echoes within environments featuring large surface element scales. In small-scale scene experiments, the simulated point cloud generated in this paper demonstrates a strong realistic effect, closely resembling actual lidar-collected point clouds both structurally and in terms of intensity distribution.…”
Section: Discussionmentioning
confidence: 99%
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“…Compared to the hardware acceleration method mentioned in the literature [14,15], our proposed method enables a complex scene simulation without relying on expensive GPU resources. A comparative analysis with the BRDF method [10] and Phong's method [11] reveals that our proposed method exhibits superior simulation efficiency for ground object echoes within environments featuring large surface element scales. In small-scale scene experiments, the simulated point cloud generated in this paper demonstrates a strong realistic effect, closely resembling actual lidar-collected point clouds both structurally and in terms of intensity distribution.…”
Section: Discussionmentioning
confidence: 99%
“…To address this limitation, a Monte Carlo beamwidth model is employed to describe the transmitting end of the lidar system. This model simulates a beam with a predetermined beamwidth [6,7,11] by utilizing multiple randomly distributed rays within that range, as illustrated in Figure 3. The laser pulse is assumed to be a rectangular pulse with a pulse width of τ e and an energy of Q s .…”
Section: Monte Carlo Beamwidth Modelmentioning
confidence: 99%
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