KEYWORDS: LIDAR, 3D acquisition, 3D image processing, Imaging systems, 3D image reconstruction, Image resolution, Signal detection, Target detection, Image processing
To verify the performance of Ghost Image via Sparsity Constraints (GISC) LiDAR system and evaluate the distance accuracy, on the basis of considering the parameters of the GISC LiDAR system, the research on design, development and setting method of related target is carried out. The measuring accuracy of distance measurement is verified in the field test. The measurement data of the airborne platform loading load are obtained to evaluate the range accuracy of the GISC LiDAR system.
High precision matching of linear array multi-sensor is the key to ensure fast stereo imaging. This paper has presented the general principle of active and passive imaging sensor, designed a high precision matching calibration system of linear array multi-sensor based on large-diameter collimator combined with assisted laser light source, and put forward an optical axis parallelism calibration technology suitable for linear array active and passive imaging sensor. This technology makes use of image acquisition system to obtain spot center, in order to match multi-linear array laser receive and transmit optical axes. At the same time, this paper uses linear visible light sources to extract the optical axis of the laser, then completes the parallelism calibration between lasers receive and transmit optical axes of multi-linear array sensors and active and passive optical axis. The matching relationship between the visible pixel and laser radar detecting element can be obtained when using this technique to calibrate the active and passive imaging sensor. And this relationship is applied to the fast stereo imaging experiment of active and passive imaging sensor and gained good imaging effect.
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