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Infrared image ME noise removal method based on on-orbit classification statistics

A technology of infrared imaging and classification statistics, which is applied in the field of space remote sensing and can solve the problems of relying on the impulse response function of the remote sensor system.

Active Publication Date: 2015-08-05
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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Problems solved by technology

[0004] The technical problem solved by the present invention is: to overcome the problem that the existing ME noise removal method relies too much on the accurate remote sensor system impulse response function, and to provide a ME noise removal method for infrared images based on on-orbit classification and statistics. For radiation information, use the ME detection template to traverse the entire image to detect ME noise, and use an iterative method to classify and remove the detected ME noise, which can ensure the validity of the image radiation information while removing the ME noise of the infrared image

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  • Infrared image ME noise removal method based on on-orbit classification statistics

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Embodiment Construction

[0026] Such as figure 1 Shown, be the flow chart diagram of the inventive method, main steps are as follows:

[0027] Step 1: Use the K-means algorithm to classify the ground objects obtained from the satellite in-orbit image according to the gray level difference, so as to obtain the radiance classification interval.

[0028] The K-means clustering algorithm is a kind of partitioning clustering algorithm, which belongs to hard clustering, and finally makes the objective function reach the minimum value. Classify the data objects in the data set according to the initial cluster center and recalculate the cluster center and data object classification. The end of the iterative process indicates that the clustering criterion function has reached convergence.

[0029] Assuming that the original image with ME noise is X, H and L are the length and width of the original image X. The gray quantization information of the image is used as the sample set X(x 1 ,x 2 ,...,x n ), now ...

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Abstract

Provided is an infrared image ME noise removal method based on on-orbit classification statistics. An ME detection template traverses a whole-scene image to detect ME noise based on radiation information carried by a satellite image, and the detected ME noise is removed by an iterative method, which makes up for the drawback of a system impulse response function. Given that the forms of ME noise have different characteristics at different radiances of an infrared image, an idea of classification is introduced in the method, and ME noise at different radiances is removed by different approaches. Finally, residual stripe noise of the image after processing is removed by adaptive moment matching so as to further improve the quality of radiation of the infrared image.

Description

technical field [0001] The invention belongs to the technical field of aerospace remote sensing, and relates to a noise processing method for remote sensing infrared images. Background technique [0002] Memory Effect (ME, Memory Effect) is a kind of band noise in the infrared remote sensing image formed by the optical machine scanning imager, such as the thermal infrared image of TM on the LANDSAT satellite and the IRMSS image on the CBERS01 satellite. ME noise is mainly manifested as an overall grayscale difference between some scanning strips in an image and its upper and lower scanning strips. The grayscale difference may vary with different scanning angles. In the scanning strip along the scanning direction Among them, the location where the scene has obvious bright and dark changes is particularly obvious, such as the boundary position of clouds or coastlines, which will seriously affect the visual effect of the image. [0003] The currently available ME noise removal...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李岩张炳先何红艳邢坤曹世翔刘薇齐文雯
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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