Method, device and equipment for removing abnormal strip noise of remote sensing image and medium

A remote sensing image, strip-type technology, applied in the direction of image enhancement, image analysis, image data processing, etc., can solve the problems that cannot meet the requirements of remote sensing image noise removal, huge workload, etc., to facilitate data application, reduce impact, improve Effect of Image Noise Removal Rate

Active Publication Date: 2020-08-25
NAT SATELLITE METEOROLOGICAL CENT
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Problems solved by technology

[0003] Problems existing in the existing technology: The workload of the noise removal method using the existing technology is relatively large, and it cannot meet the noise removal requirements of remote sensing images. There is an urgent need for a convenient and quick noise removal solution that can be used by machines

Method used

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  • Method, device and equipment for removing abnormal strip noise of remote sensing image and medium
  • Method, device and equipment for removing abnormal strip noise of remote sensing image and medium
  • Method, device and equipment for removing abnormal strip noise of remote sensing image and medium

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Embodiment 1

[0055] (1) Read the multi-band remote sensing image to be detected as a matrix, and record the position of each band, and then perform subsequent processing on each band separately.

[0056] (2) According to the calibration coefficient of each band remote sensing image, determine the effective value range of the remote sensing image value, and generate a matrix with effective values ​​of 0 and 1, and 1 is valid for the value of this pixel.

[0057] (3) Summing all columns in units of rows, that is, obtaining the total number of effective pixels in each row, and then calculating the maximum, minimum, and average values ​​of the effective values ​​of each band row;

[0058] (4) According to the ratio of the average value and the maximum value, a dynamic coefficient is used to reconstruct the first threshold value; then judge which rows have the total number of effective pixels less than the first threshold value, that is, suspect that this row may have noise;

[0059](5) Further...

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Abstract

The invention provides a method, device and equipment for removing abnormal strip noise of a remote sensing image and a medium, and the method comprises the steps: S1, reading the remote sensing images of a plurality of to-be-detected wavebands as a matrix, and recording the position of each waveband; s2, according to the calibration coefficient of the remote sensing image of each waveband, determining the effective range of the numerical value of the remote sensing image, and generating a matrix with effective values of 0 and 1, wherein 1 represents that the numerical value of the pixel is effective; s3, summing columns in the matrix by taking the row as a unit, and then calculating the maximum value, the minimum value and the average value of the effective value of each wave band row; s4, selecting a dynamic coefficient according to the ratio of the maximum value to the average value, and setting the dynamic coefficient as a first threshold value; and S5, further analyzing the remotesensing image by taking the scanning band as a unit, counting the number of lines possibly having noise in the scanning band, and if the number is greater than a preset second threshold, removing thewhole scanning band.

Description

technical field [0001] The present invention relates to the technical field of denoising processing methods for remote sensing images, in particular to a method, device, equipment and medium for removing abnormal banded noise from remote sensing images. Background technique [0002] Remote sensing images are often subject to various interferences during the process of collection, storage and communication transmission, which introduces noise data, which has a great impact on the application of subsequent images. The noise of remote sensing images is mainly manifested as periodic stripes, bright lines, and spots. Due to the huge amount of data in remote sensing images, the workload of noise removal methods using existing technologies is relatively large, which cannot meet the noise removal requirements of remote sensing images. Contents of the invention [0003] Problems existing in the existing technology: The workload of the noise removal method in the prior art is relati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10032
Inventor 范锦龙
Owner NAT SATELLITE METEOROLOGICAL CENT
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