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Recursive least square solution RFM model parameter optimization algorithm for FPGA hardware

A technology of model parameters and optimization algorithms, applied in the field of satellite remote sensing image processing, can solve the problems of reducing the speed of solving RFM model parameters, slow processing speed, time-consuming, etc.

Active Publication Date: 2021-03-09
GUILIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

This kind of RFM model parameter solving algorithm based on the ground platform cannot meet the application scenarios that have high requirements for timeliness (such as disaster prevention and mitigation, dynamic target tracking, etc.), the main reasons include: (1) If you want to use the ground platform to solve The RFM model parameters of satellite remote sensing images must wait for the satellite remote sensing images to be downloaded to the ground receiving station before processing. ) The RFM model parameter solving algorithm based on the ground platform, that is, the RFM model parameter solving algorithm based on conventional least squares, because it needs to perform complex multiplication and inversion operations on large matrices, it will not only consume a lot of FPGA hardware resources, but also reduce the cost of solving RFM. speed of model parameters

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  • Recursive least square solution RFM model parameter optimization algorithm for FPGA hardware
  • Recursive least square solution RFM model parameter optimization algorithm for FPGA hardware

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the following embodiments in no way limit the present invention.

[0061] The pseudocode of the FPGA hardware-oriented RLS solving RFM model parameter optimization algorithm disclosed by the present invention is as follows: figure 1 Shown (to solve for parameter a 1 ~a 20 , b 2 ~b 20 example). Among them, F 0 and are randomly generated initial matrices, the sizes are 39×1 and 39×39 respectively; F ρ and F ρ+1 is a 39×1 matrix; and is a 39×39 matrix; E is a 39×39 unit matrix; m ρ+1 is a 1×39 matrix; ρ is the serial number of the “virtual control point”; J ρ+1 is the regularized pixel coordinates of the ρ+1th "virtual control point"; temp1, temp and rS are 39×1 matrices; rtemp2, temp2, invtemp2, rJ and detaJ are scalars.

[0062] The present invention adopts Xilinx FPGA chip, and utilizes Verilog hardware language to carry out al...

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Abstract

The invention discloses an RLS solution RFM model parameter optimization algorithm for FPGA hardware. The main process comprises the following steps: 1, determining the form of an RFM model; step 2, establishing a'virtual control point 'grid in the image space; 3, establishing a'virtual control point 'grid in the ground space; 4, according to the established virtual control points, using RLS to calculate RFM model parameters; step 5, performing precision evaluation. According to the invention, the FPGA is used as a hardware acceleration platform, the Verilog hardware language is used as a design language, the RFM model parameter optimization algorithm is solved by using the RLS under the condition of limited hardware resources, and the requirements of timeliness, portability and miniaturization of satellite image orthorectification in the field of satellite remote sensing are met.

Description

technical field [0001] The present invention relates to the field of satellite remote sensing image processing, in particular, a field programmable gate array (Field Programmable Gate Array, FPGA)-oriented recursive least squares (Recursive Least-Square, RLS) to solve the rational function model (Rational Function Model, RFM) parameter optimization algorithm. Background technique [0002] With the continuous development of aerospace, sensing and other technologies, the resolution of satellite remote sensing images continues to increase, the number of bands continues to increase, and the revisit cycle continues to shorten. At the same time, the amount of image data acquired is also increasing at an alarming rate. However, ordinary users need to go through the following process if they want to obtain the satellite image thematic products they are interested in: the satellite sensor acquires data, the satellite downloads the data to the data receiving center, and then the groun...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/11G06F17/16G06F7/53
CPCG06F30/20G06F17/11G06F17/16G06F7/53
Inventor 周国清张荣庭
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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