3 results about "Rational polynomial" patented technology

The application relates to a stereo matching and disparity map optimization method based on adaptive smooth constraint, which comprises the following steps: acquiring satellite stereo pairs and refined rational polynomial coefficients; processing the satellite stereo pairs and the rational polynomial coefficients by adopting a core line resampling method based on orthographic correction to generate core line image pairs; performing stereo matching on the core line images by adopting a semi-global matching algorithm based on adaptive parameters to generate an initial disparity map; performing optimization processing on the initial disparity map by using an improved weighted least square algorithm to obtain a final disparity map; and generating point clouds by spatial forward intersection based on the final disparity map, performing gridding processing on the point clouds, and acquiring a final digital surface model. Compared with the prior art, the application realizes the balance between noise suppression and detail reservation, thereby improving the accuracy and completeness of the DSM.

This invention provides a method, apparatus, and device for joint calibration of optical satellite constellations, applicable to the field of satellite data processing technology. The method includes: performing small-side-swing imaging on multiple global geometric calibration fields to establish a rigorous geometric positioning model and generate initial rational polynomial parameters; selecting a reference region for dense matching to obtain dense matching points and calculating the payload's internal azimuth parameters and initial external azimuth elements; performing sparse matching on other regions to obtain sparse matching points; and establishing a joint calibration model based on the dense and sparse matching points, obtaining the optimal external calibration parameters through weighted calculation. This invention, by jointly utilizing data from multiple global calibration fields and uniformly calculating the geometric parameters of satellites within a constellation, effectively overcomes the local overfitting problem caused by a single calibration field, significantly improving the consistency of geometric positioning accuracy of satellites within a constellation globally.

This invention discloses a computer vision-based remote sensing image processing system, belonging to the field of remote sensing image processing technology. It includes: a multi-source data spatiotemporal registration and parameter analysis module; a land surface illumination prior construction module; a variational energy functional construction module; a partial differential equation iterative solution module; and a geoscientific threshold classification module. In this invention, a rational polynomial model is used to complete orthorectification and spatial registration of multi-source remote sensing images and elevation data. Combining the land surface normal vector matrix and the solar illumination direction vector at the imaging time, a physical illumination prior that fits the real terrain imaging environment is constructed, distinguishing between direct illumination, diffuse reflection components, and terrain-occluded shadow areas. Then, a multi-constraint optimization objective is constructed through a logarithmic domain variational energy functional, and the alternating direction multiplier method is used for iterative solution to accurately separate the illumination field from the real land surface reflectivity.