FPGA-based real-time remote sensing image geographic reference method

Abstract

The invention discloses an FPGA-based real-time remote sensing image geographic reference method. The method comprises the steps of: S1. selecting geographic reference image coordinates to construct acontrol point-to-coordinate relationship model; S2. selecting corresponding coordinate parameters from the control point-to-coordinate relationship model to convert to-be-corrected image coordinates(xg, yg); S3, judging whether the to-be-corrected image coordinates (xg, yg) are positive numbers, and if so, entering the next step; otherwise, ending; S4, judging whether the to-be-corrected image coordinates (xg, yg) are within a selected geographic reference image range, and if so, entering the next step; otherwise, ending; and S5, obtaining a gray value of the to-be-corrected image coordinates (xg, yg) through the nearest-neighbor interpolation algorithm, and performing resampling to output a remote sensing image with geographic coordinates. The method is implemented by using FPGA as hardware, the design hardware language is the Verilog_HDL language, the algorithm code simulation is effective, and the real-time output of the geographic reference images is realized.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to an FPGA-based real-time remote sensing image geographic reference method. Background technique [0002] With the continuous advancement of technology, remote sensing image data is more and more widely used in natural disasters and positioning systems. These systems need to provide geographic coordinates quickly and in real time. However, traditional remote sensing image data does not have geographic coordinates, and traditional The processing system can not meet the real-time requirements, mainly in the following aspects: (1) The primary remote sensing images that are generally processed and distributed by the ground receiving station are affected by various factors, and there is a certain geometric distortion, mainly manifested as displacement, Rotation, scaling, affine, bending, and higher order bending, or squashing, stretching, twisting, or offsetting the actual...

AI Technical Summary

Problems solved by technology

[0002] With the continuous advancement of technology, remote sensing image data is more and more widely used in natural disasters and positioning systems. These systems need to provide geographic coordinates quickly and in real time. However, traditional remote sensing image data does not have geographic coordinates, and traditional The processing system can not meet the real-time requirements, mainly in the following aspects: (1) The primary remote sensing images that are generally processed and distributed by the ground receiving station are affected by various factors, and there is a certain geometric distortion, mainly manifested as displacement, Rotation, scaling, affine, bending, and higher order bending, or squashing, stretching, twisting, or offsetting the actual position of the cell relative to the ground

(2) General remote sensing images do not have geographic coordinates

[0005] The general remote sensing image processing process is to receive and download data through the ground receiving station, perform image preprocessing to form remote sensing data of different levels, and then send them to users after processing according to different user needs. This process is very time-consuming. Obviously, when natural disasters such as fires and earthquakes occur, it is necessary to give the precise geographic coordinates of the specific location of the disaster in real time, so the general system cannot meet the real-time requirements. The FPGA-based real-time geographic reference system is a solution to this problem. method

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