Preprocessing method applicable to large area array sub-meter remote sensing video image single machine

Abstract

The invention relates to a preprocessing method applicable to a large area array sub-meter remote sensing video image single machine. The method comprises the following steps of carrying out multi-thread decryption and decompression processing; after auxiliary data and single frame original data are output, carrying out radiation correction processing and geometric correction processing in parallel; carrying out GPU optimization on independent single frame radiation processing, wherein the single frame geometric processing is only carried out in a CPU; and carrying out video processing comprising registration, direction, resampling and framing. Due to relation with a frame serial number, serial optimization processing needs to be carried out through a GPU. According to the preprocessing method applicable to the large area array sub-meter remote sensing video image single machine provided by the invention, on the basis of an existing large area array sub-meter remote sensing video image processing process, through application of a satellite and ground integrated design, function module division, multithread parallel optimization and GPU acceleration are carried out on various processing links; the whole process is processed by a processing server; the processing precision is satisfied; the processing efficiency is greatly improved; and the processing server can be deployed along with a ground fixed station or a mobile station.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a preprocessing method suitable for a stand-alone large area array sub-meter remote sensing video image. Background technique [0002] Satellite remote sensing image preprocessing is a key component of the remote sensing satellite ground system. It processes the raw data downloaded from the satellite into standard remote sensing image products that can be used by users, including image data of each spectral band, location information of the captured image (plane coordinates ), metadata information, etc. Preprocessing indicators are usually measured in terms of service capability, service efficiency, and application accuracy. The first stage of satellite remote sensing image preprocessing is remote sensing data reception. The remote sensing data reception is completed by ground receiving equipment, and the radio data transmission signal is converted into code stream...

AI Technical Summary

Problems solved by technology

[0005] In order to improve the service ability and efficiency of satellite remote sensing image preprocessing and solve the problem of poor timeliness in data center processing, the present invention provides a suitable A preprocessing method for single-machine sub-meter-scale remote sensing video images with large area arrays

Images