Titling mode sampling modeling and super-resolution reconstruction method

Abstract

The invention discloses a titling mode sampling modeling and super-resolution reconstruction method so as to achieve the reconstruction of high spatial resolution satellite remote sensing images. The method comprises the steps that a pixel coordinate system on a titling mode sampling grid is mapped onto a pixel coordinate system on a high-resolution conventional sampling grid; in a space coordinate system, triangulation is carried out on tilting mode sampling pixel points; according to an unknown pixel on the high-resolution grid, the value of the unknown pixel on the high-resolution grid is calculated by the adoption of the super-resolution reconstruction method like a polynomial interpolation through the value of the known pixel of the vertex of the triangle where the unknown pixel is located. According to the disclosed titling mode sampling modeling and super-resolution reconstruction method, single-linear-array titling mode sampling imaging is adopted, the problems that two rows of sensor linear arrays are difficult to manufacture, and the registration accuracy is hard to control are solved, meanwhile, image data collection is carried out on sampling intervals by the control over the push broom direction, the spatial sampling grid formed by tilting mode sampling is square, and the problem of accuracy losses caused by the additional geometric correction and the gray-level interpolation is solved.

Description

technical field [0001] The invention belongs to the technical field of super-resolution image reconstruction, in particular to an oblique mode sampling modeling and super-resolution reconstruction method. Background technique [0002] The French SPOT-5 optical remote sensing satellite launched in 2002 first adopted the super-mode sampling technology, using two rows of linear array sensors staggered by half a pixel to acquire images, and without changing the sensor size of the sensor, the spatial resolution was changed from 5m Raised to 2.5m. The successful implementation of sub-pixel sampling technology on SPOT-5 satellite has introduced new ideas for the study of improving the spatial resolution of remote sensing images. Super-resolution reconstruction based on oblique mode sampling is a method of combining software and hardware supported by a specific imaging mode to improve spatial resolution. By changing the imaging mode of the sensor line array, an attempt is made to i...

AI Technical Summary

Problems solved by technology

However, the problems of these two sampling modes are: 1) the two rows of imaging linear arrays increase the complexity of the platform; 2) when shooting from the side of the satellite, in order to ensure that the two rows of linear arrays are always staggered by half of the array elements, an additional hardware equipment

Zhou Feng et al. proposed an oblique mode sampling method in which the spatial sampling grid is a parallelogram, and then performed simple geometric correction on the oblique mode sampling image to obtain the image under the original spatial relationship. The problems of this sampling mode are: 1) Grayscale interpolation causes geometric distortion; 2) The tilt angle of the imaging line array restricts the sampling density and field width at the same time

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