Range-gated laser imaging obtains different range-gated images by imaging the target slice. However, range-gated laser imaging cannot provide the full spatial position information of long-range targets. Thus, this paper proposes an algorithm that combines the threshold and cross-correlation methods for high-precision 3D reconstruction. First, the threshold value method is used to eliminate the zero point in the measured gray-scale curve. Then, the interceptive and ideal gray-scale curves measured at each pixel point are cross-correlated, and the delay that corresponds to the correlation peak at each pixel point is used to calculate the range value at each pixel point. The 3D coordinates at each pixel point can be calculated based on the imaging system parameters. Finally, the long-range arbor slice image is processed to obtain the 3D arbor image.
展开▼
