The image stabilization system plays an important role in stabilizing the optical axis in the optical system. The two-dimensional compensation of the stabilizing mirror causes the image-rotation. The mathematical model of stabilizing mirror working mode based on spatial coordinate transformation is established. The mathematical formula of image-rotation angle and distortion based on spatial vector representation is deduced. The influence of the initial posture and the compensation angle of the stabilizing mirror on the rotation angle and the distortion are analyzed. The model is used to simulate the actual working mode of the stabilizing mirror in a space optical system, and the image-rotation angle and image distortion caused by the stabilization system are calculated to provide data support for the space optical system design.
KEYWORDS: Clouds, Vegetation, Ions, Feature extraction, Image registration, 3D metrology, 3D modeling, Data modeling, Principal component analysis, Remote sensing
Measuring the 3D structure of vegetation canopy is of great significance for the validation of remote sensing data and vegetation radiation transfer modeling. When using laser triangulation, because of the limitat ion of the field of view of measuring system, multi-view measurement followed by a registration of the measured point cloud is needed. Most of the existing registration methods cannot be directly applied to our registration task. This paper presents a registration method based on leaf profile matching. Firstly, segment the point cloud into subsets that are correspond to the single leaves. Then the profile of every single leaf is extracted and fitted with splines. Finally, by calculating and matching the parameters of the splines' parameters, the profile of the same leaf in different views are registered, thus the registration of multi-view point cloud is achieved. The experiments on measurement data are presented to show the feasibility of the proposed method.
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