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Image Motion of Remote Sensing Camera With Wide Field of View Over the Antarctic and Arctic

机译:遥感照相机的图象运动与视图宽的看法的在南极和北极的

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摘要

Imaging by the remote sensing camera with a wide field of view (WFV) is of great significance in the issue of polar environment. However, the instability of the image motion velocity poses a huge challenge to the observation task since the direction of the earth's rotation velocity keeps changing in the polar regions. The edge blur of polar image by the camera with the WFV is usually ignored. Therefore, a specific theoretical model that the camera images over the polar region is supposed to describe the instability distinctly. Mathematical expressions of the image motion velocity field are obtained with a novel method of velocity projection and coordinate transformation. The quantitative analysis of simulation reveals that the increasing anisotropy of the instantaneous image motion velocity field gets most significant near the poles. The value of modulation transfer function at the edge of the field of view decreased by 0.33%, which results in a discrepancy of sharpness in an image. The model is capable of explaining the edge blur, of the image from BNU-1, which provides a theoretical basis for the image motion compensation strategy of cameras with the WFV.
机译:遥感摄像头的成像具有广泛的视野(WFV)在极性环境问题中具有重要意义。然而,由于地球的旋转速度的方向在极地区域中不断变化,图像运动速度的不稳定性对观察任务构成了巨大挑战。相机与WFV相机的极地图像的边缘模糊通常会被忽略。因此,应该明确地描述极地区域上的相机图像的特定理论模型。以新颖的速度投影和坐标变换获得图像运动速度场的数学表达。模拟的定量分析表明,瞬时图像运动速度场的增加各向异性在极附近最重要。视场边缘处的调制传递函数的值下降0.33%,这导致图像中清晰度的差异。该模型能够解释来自BNU-1的图像的边缘模糊,这为与WFV的相机的图像运动补偿策略提供了理论依据。

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