Remote-sensing image stripe noise removing method based on segmented correction

Abstract

The invention provides a remote-sensing image stripe noise removing method based on segmented correction. A method that an image can be divided into a uniform region and a non-uniform region according to distribution phenomena of different ground objects is designed, the other method that a region can be divided into areas with different gray levels according to different gray level values of the region scanned by a detecting element is designed, one image (scanning imaging in rows or columns) can be divided into different intervals in columns or rows by the two methods, stripe noises of the different intervals are sectionally removed by common spatial domain denoising methods of moment matching, histogram matching and the like, categories of the different ground objects are considered, gray level value influences caused by external radiation changes and the like are combined, ground object categories and spectral characteristics are simultaneously considered in the obtained result, the obtained result is close to authentic data, the computational efficiency is high, and the computation is steady. The method can be well applied to removing stripe noises in the remote-sensing images.

Description

technical field [0001] The invention relates to the technical field of optical remote sensing image processing, in particular to a method for removing band noise from an optical image acquired by a sensor of a remote sensing platform. Background technique [0002] The acquisition of optical remote sensing images is affected by the radiation characteristics of CCD detectors and random factors, causing many problems in optical remote sensing satellite images, such as motion blur, gray scale degradation, band noise, etc., among which band noise is the most significant . Striping noise is mostly caused by temperature changes and differences in detector materials, resulting in different transfer functions of each detector, resulting in differences in the detector's response to electromagnetic radiation and the performance of electronic devices, making adjacent Scan lines produce inconsistencies in brightness. [0003] Banding noise is unavoidable in any sensor data acquired usi...

AI Technical Summary

Problems solved by technology

Although the spatial domain matching method has a high rate of strip noise removal, the effect is not ideal, so further research is needed

[0005] There are usually different types of ground objects in the image, and there are also uneven grayscale transformations in the image as time changes.

If the spatial domain correction method is directly applied to the image to remove the banding noise, the two phenomena of incomplete banding noise removal and excessive banding noise correction will appear on the processed image due to the above reasons

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