Method for preprocessing remote sensing image data

Abstract

The invention provides a method for preprocessing remote sensing image data. The method comprises the steps of parsing basic information of a plurality of remote sensing images and saving the data ina data table; starting at least two first processes, obtaining the basic information of each remote sensing image in the data table by using each first process, and performing radiometric calibrationand atmospheric correction on all the remote sensing images in parallel; dividing the remote sensing images into several image regions; and starting at least two second processes, obtaining object space coordinates of each image region through each second process and performing orthorectification on all the image regions in parallel. In the method provided by the invention, when the plurality of remote sensing images are subjected to radiometric calibration and atmospheric correction, the data of the plurality of remote sensing images are simultaneously processed respectively by the pluralityof processes, when the remote sensing images are orthorectified, the plurality of image regions in the remote sensing images are simultaneously processed respectively by the plurality of processes, and therefore the speed and efficiency of preprocessing the remote sensing image data are improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, to a preprocessing method for remote sensing image data. Background technique [0002] Remote sensing technology is a comprehensive technology that uses various sensing instruments to collect, process, and finally image electromagnetic wave information radiated and reflected by long-distance targets based on the theory of electromagnetic waves. [0003] At present, the application of various informatization has brought the requirements of massive data processing, remote sensing image data is gradually showing the characteristics of multi-source, multi-scale, multi-temporal, global coverage and high resolution, and the data volume of remote sensing data is growing explosively; At the same time, in the process of acquiring remote sensing images, often affected by factors such as optical lens distortion, atmosphere and uneven illumination, the obtained remote ...

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Problems solved by technology

[0003] At present, the application of various informatization has brought the requirements of massive data processing, remote sensing image data is gradually showing the characteristics of multi-source, multi-scale, multi-temporal, global coverage and high resolution, and the data volume of remote sensing data is growing explosively; At the same time, in the process of acquiring remote sensing images, often affected by factors such as optical lens distortion, atmosphere and uneven illumination, the obtained remote sensing images cannot be used directly, and most of the directly provided remote sensing images are basically unprepared. For processing, radiation calibration is required to convert the original DN value into an absolute brightness value to eliminate the influence of sensor errors; atmospheric correction is required to convert the radiation brightness into the actual reflectance of the surface, and eliminate the influence of atmospheric reflection, scattering and absorption on the reflectance. At the same time, it is also necessary to perform orthorectificat

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