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Remote sensing image cloud removing method based on sparse representation

A remote sensing image and sparse representation technology, applied in the field of remote sensing image cloud removal, can solve the problem of not making good use of different dictionaries to represent the characteristics, and achieve the effect of speeding up and improving quality.

Inactive Publication Date: 2012-11-28
HARBIN ENG UNIV
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  • Application Information

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Problems solved by technology

For example, the invention patent with the application number of 201010522273.4 introduces a method of using Curvelet redundant dictionary to sparsely represent images, but this method only uses one redundant dictionary, and does not make good use of the representation characteristics of specific parts of images in different dictionaries

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  • Remote sensing image cloud removing method based on sparse representation
  • Remote sensing image cloud removing method based on sparse representation
  • Remote sensing image cloud removing method based on sparse representation

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Embodiment Construction

[0020] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0021] The remote sensing image cloud removal method based on sparse representation of the present invention adjusts the parameters of the total variation adjustment function of the image, that is, when using the block coordinate relaxation algorithm to decompose the image, the algorithm is adjusted by changing the parameters of the total variation adjustment function The convergence speed improves the efficiency of the algorithm.

[0022] The present invention is a remote sensing image cloud removal method based on sparse representation, the process is as follows figure 1 shown, including the following steps:

[0023] Step 1: Extract the cloud mask matrix to obtain a new image.

[0024] The thick cloud is extracted as a mask matrix M with the same size as the original image, and the elements of the mask matrix M are set to "0" where there is thick ...

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Abstract

The invention discloses and particularly relates to a remote sensing image cloud removing method based on sparse representation. The remote sensing image cloud removing method comprises the following steps of: extracting a cloud mask matrix to acquire a new image; initializing iteration parameters; fixing a texture part of the image and updating a smooth part of the image; fixing the smooth part of the image and updating the texture part of the image; adjusting the smooth part by virtue of a total variation function; updating a iteration threshold; and judging whether decomposition is completed. The remote sensing image cloud removing method based on the sparse representation can adjust the parameters of the total variation adjusting function of the image, namely, a convergence rate of an algorithm is adjusted by changing the parameters of the total variation adjusting function when the block coordinate relaxation algorithm is adopted foe decomposing the image, so that the efficiency of the algorithm and the decomposing effect of the image are improved. The remote sensing image cloud removing method has an obvious thick cloud removing effect on the premise of not destroying original information of the image as much as possible.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image cloud removal, and in particular relates to a remote sensing image cloud removal method based on sparse representation. Background technique [0002] Remote sensing images have been widely used in many fields such as military reconnaissance, geological interpretation, oil exploration, weather forecasting, and crop growth detection. At present, most of the images obtained by remote sensing are optical images, and the quality of optical images is easily affected by climate factors, and cloud cover is one of them. From the perspective of remote sensing physics, clouds belong to the category of atmospheric aerosols, which are stable in the earth's atmosphere and have a small sedimentation velocity, with a scale range of 10 -3 A mixture of liquid ions or solid ions between μm and 10 μm. Cloud coverage not only affects the interpretation accuracy of remote sensing images, but is also an i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 赵玉新韩自发高峰沈志峰张振兴
Owner HARBIN ENG UNIV
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