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A cirrus cloud detection method, device and computer-readable storage medium

A cloud detection and grayscale technology, applied in the field of remote sensing image processing, can solve the problems of poor detection results of threshold segmentation method and machine learning method, and achieve the effect of solving the problem of cirrus cloud detection and improving the accuracy and recall rate.

Active Publication Date: 2020-11-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to: provide a kind of cirrus cloud detection method, by adopting fractal and graph cutting algorithm to detect cirrus cloud, solve the existing cirrus cloud detection when encountering high-radiation object interference and limited sample data using threshold value segmentation method and machine learning methods that do not detect well

Method used

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  • A cirrus cloud detection method, device and computer-readable storage medium
  • A cirrus cloud detection method, device and computer-readable storage medium
  • A cirrus cloud detection method, device and computer-readable storage medium

Examples

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Embodiment 1

[0061] refer to figure 1 As shown, the embodiment of the present invention provides a cirrus cloud detection method, comprising the following steps:

[0062] S101. Input the remote sensing image, and obtain the primary color channel grayscale image of the remote sensing image;

[0063] S102. Obtain the fractal dimension feature map of the grayscale image of the primary color channel;

[0064] S103. Obtain a weight grayscale image based on the fractal dimension feature map and the primary color channel grayscale image;

[0065] S104. Perform cluster calculation on the pixels of the grayscale image of the primary color channel, obtain the clustering result of the pixel, and determine the pre-assigned label of each pixel of the grayscale image of the channel based on the clustering result;

[0066] S105. Establish a graph cut model based on the primary color channel grayscale image, weight grayscale image, and pre-assigned labels;

[0067] S106. Perform minimum cut calculation...

Embodiment 2

[0070] refer to Figure 2 to Figure 7 As shown, the embodiment of the present invention is further optimized on the basis of Embodiment 1, and a cirrus cloud detection method is provided, comprising the following steps:

[0071] S201. Input a remote sensing image, and acquire a primary color channel grayscale image of the remote sensing image.

[0072] Such as figure 2 As shown in the remote sensing image in the embodiment of the present invention, it can be understood that the image is actually a color picture. Because the color image contains a large amount of information, the processing speed is slow, and it is not conducive to digital processing. Therefore, in the embodiment of the present invention, the color remote sensing image is converted into the channel grayscale of one of the three primary colors of red, green, and blue (Red&Green&Blue, RGB) picture.

[0073] Preferably, as image 3 As shown, in the embodiment of the present invention, the remote sensing image...

Embodiment 3

[0128] refer to Figure 8 As shown, the specific hardware structure of a cirrus cloud detection device provided by Embodiment 3 of the present invention, the cirrus cloud detection device 8 may include: a memory 82 and a processor 83 ; each component is coupled together through a communication bus 81 . It can be understood that the communication bus 81 is used to realize connection and communication between these components. In addition to the data bus, the communication bus 81 also includes a power bus, a control bus and a status signal bus. But for clarity, in Figure 8 The various buses are denoted as communication bus 81 herein.

[0129] Memory 82, for storing the positioning method program that can run on the processor 83;

[0130] The processor 83 is configured to perform the following steps when running the positioning method program:

[0131] Step 1. Input the remote sensing image, and obtain the primary color channel grayscale image of the remote sensing image;

...

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Abstract

The invention discloses a cirrus cloud detection method, which comprises the following steps: inputting a remote sensing image, and acquiring a primary color channel grayscale image of the remote sensing image; acquiring a fractal dimension characteristic map of the primary color channel grayscale image; based on the fractal dimension characteristic map and The primary color channel grayscale image obtains the weight grayscale image; performs clustering calculation on the pixels of the primary color channel grayscale image, obtains the clustering results of the pixels, and determines the prediction value of each pixel in the primary color channel grayscale image based on the clustering results Assign labels; establish a graph cut model based on the primary color channel grayscale image, weight grayscale image, and pre-assigned labels; perform minimum cut calculations on the graph cut model, and output the detection results of remote sensing images. The invention also discloses a cirrus cloud detection device and a computer-readable storage medium at the same time.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a cirrus cloud detection method, equipment and computer-readable storage medium. Background technique [0002] Cirrus cloud detection in remote sensing images has a wide range of applications in daily life, such as weather forecasting and geographic monitoring. Specifically, since cirrus clouds can block other areas in remote sensing imaging, how to extract cirrus clouds of different shapes in remote sensing images is also a research hotspot in recent years. The shape of cirrus clouds is often unpredictable, the brightness is difficult to distinguish from some remote sensing high-radiation objects such as snow and white buildings, and there are some translucent thin clouds, which will greatly increase the difficulty of cirrus cloud detection. [0003] In the prior art, cirrus cloud detection methods in remote sensing images are mainly based on single-fram...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 彭真明刘雨菡曹思颖吕昱霄彭凌冰杨春平赵学功何艳敏蒲恬王光慧曹兆洋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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