With the development of high resolution remote sensing satellite in recent years, the research of typical objects is connecting more and more closely with remote sensing applications. In the TDI CCD camera on-orbit imaging process, great changes will happen on solar angles at different time, causing a certain change of BRDF of most earth’s surface objects, and finally affect the remote sensing radiances, even imaging quality. In order to solve this problem, optimization of in-orbit parameters based on the ground objects BRDF is necessary. A detailed investigation about the global imaging area of ground objects characteristics is given in this paper. We inverse BRDF of different time based on Kernel-Driven BRDF model, establish database of ground objects BRDF, make a classification of ground objects characteristics, simulate imaging effect with radiative transfer model and degradation model of remote sensor, and then optimize imaging parameters according to the imaging quality requirement. The simulation results show that the contrast, definition and dynamic range of image have improved, the proposed method in this paper can set imaging parameters reasonably of different imaging conditions, improve the imaging quality of high resolution remote sensing satellites.
This paper brings hyperspectral technology and compute image together, on the basis of
geometrical optics theory and compressed sensing theory, put forward a new computational
spectral Imaging technology. That raises two to four times on spatial resolution and double on
spectral resolution compared conventional hyperspectral imagers. Owing to have finished
compressing when getting the imaging signal, that could resolve the conflict between the mass of
data bringing with high resolution and transfers and storage. The paper carries out a project to the
new hyperspectral imager.
High resolution of remote sensing image is impressible on varying pitch angle of satellite
platform on orbit. The geometry quality of image is distorted, and image has geometrical warp.
Consequently, the spatial distribution of image is changed. However, traditional simulation methods of
geometric distortion are complex. Traditional methods are based on accurate physical model. The pixel
positions of warp image are calculated as one by one pixel. The topological mapping relationship is
analyzed, which is between earth coordinate and optical remote sensor coordinate. The method of active
points is proposed. Positions of active points are computed through the transform relationship between
earth coordinate and optical remote sensor coordinate. Active points are interpolated by polynomial
interpolation. The geometrical distortion is sub-pixel precision. Finally, a frame of image is generated. The
effective transform reduces vastly amount of computation. The geometry model contains interior and
exterior orientation elements of imaging system on satellite platform. The simulation experiment is based
on three axes. Various angles of three axes are included by proposed model. As a result, the boundary
condition of motion error affecting imaging quality is analyzed. The proposed geometry model not only
improves physical information of active points, but also reduces computational complexity of transform
between earth coordinate and optical remote sensor coordinate. The result is beneficial to design and
optimize parameters of satellite platform.
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