Method for carrying out image correction on remote sensing images

Abstract

The invention provides a method for carrying out image correction on remote sensing images. The method comprises the following steps of: obtaining a remote sensing image shot by a satellite which carries a CCD camera and an image parameter thereof, and obtaining parameters of the satellite which shoots the remote sensing image and the CCD camera; carrying out radiation correction on the image; carrying out statistic on a gray value difference between odd-even line data and removing an odd-even pixel difference; removing a color difference between CCD arrays so as to finally obtain a processedremote sensing image I1. The method carrying out image correction on remote sensing images is capable of effectively improving the image quality, effectively removing stripe noises and color differences in / between chips, improving the relative radiation correction precision of images, and carrying out complete, correct and object inspection on the image correction effect.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to an image correction method for remote sensing images. Background technique [0002] Due to the influence of imaging methods, photoelectric element performance, and environmental parameters (such as temperature) during imaging, remote sensing images often have defects in radiation quality and geometric quality, such as image chromatic aberration and band noise. The existence of chromatic aberration and banding noise makes remote sensing images have problems in both qualitative and quantitative use. In qualitative remote sensing interpretation and interpretation, chromatic aberration and banding noise seriously affect the identification and extraction of ground object types by operators; In this kind of remote sensing quantitative inversion, band noise will distort the radiation information. Due to the lack of quantitative indicators that can objectively reflect the d...

AI Technical Summary

Problems solved by technology

[0002] Due to the influence of imaging methods, photoelectric element performance, and environmental parameters (such as temperature) during imaging, remote sensing images often have defects in radiation quality and geometric quality, such as image chromatic aberration and band noise.

At the same time, for the inspection of the processing effect of remote sensing images after image processing, the current methods use too many or too few inspection indicators, the indicators are not universal, or the indicators cannot fully summarize the aspects to be inspected, resulting in ineffective inspection results. precise

Images