SPOT-6 satellite image RFM orthorectification method based on FPGA hardware

Abstract

The invention discloses an SPOT-6 satellite image RFM ortho-rectification method based on FPGA hardware. The method comprises the following steps: obtaining geodetic coordinates of ortho-image pixel points; performing coordinate conversion by using an RFM model, namely converting geodetic coordinates of a ground point into pixel row coordinates and column coordinates of an original image; carrying out gray scale interpolation on the orthoimage; and repeating the process until the gray values of all the pixel points on the orthoimage are obtained, thereby obtaining the image subjected to orthorectification. According to the SPOT-6 satellite image RFM ortho-rectification method based on the FPGA hardware, the FPGA serves as a hardware acceleration platform, Verilog hardware language serves as a design language, RFM ortho-rectification of remote sensing images is achieved under the condition of limited hardware resources, and the requirements for timeliness, portability and miniaturization of satellite image ortho-rectification in the satellite remote sensing field are met.

Description

technical field [0001] The invention relates to a satellite remote sensing image processing method. In particular, it relates to an FPGA hardware-based RFM orthorectification method for SPOT-6 satellite imagery. 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 ground professionals process the data according to the user's requirements, and finally the processing Results are distributed to users. This process is ...

AI Technical Summary

Problems solved by technology

This kind of RFM orthorectification method 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) using the ground platform to perform RFM-based When the remote sensing image of the model is orthorectified, it must wait for the satellite remote sensing image to be downloaded to the ground receiving station before processing. This process is very time-consuming; (2) The ground platform mostly processes data in a serial manner, resulting in slow processing speed

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