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A method of infrared imaging cirrus cloud detection based on fractal dictionary learning

A dictionary learning and infrared imaging technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of low recognition accuracy and interference, and achieve the effect of improved efficiency, easy implementation and short calculation time.

Active Publication Date: 2021-04-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to: in order to solve the problem that the false alarm source can interfere with the detection of the target and cause the low precision of target detection and recognition in ground detection, a kind of infrared imaging cirrus cloud detection method based on fractal dictionary learning is provided

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  • A method of infrared imaging cirrus cloud detection based on fractal dictionary learning
  • A method of infrared imaging cirrus cloud detection based on fractal dictionary learning
  • A method of infrared imaging cirrus cloud detection based on fractal dictionary learning

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Embodiment 1

[0061] A kind of infrared imaging cirrus detection method based on fractal dictionary learning that the preferred embodiment of the present invention provides, such as figure 1 shown, including the following steps:

[0062] Step 1. Input an infrared image of cirrus clouds to be detected with a pixel size of m×n, such as image 3 , and filter and denoise it to obtain the preprocessed cirrus cloud image. The specific method of filtering and denoising the infrared image of cirrus clouds is as follows: sort the pixels in the neighborhood of each pixel point on the infrared image of cirrus clouds according to the gray value from small to large, and obtain the gray value of each pixel point neighborhood. Median value, and assign the obtained median value to the corresponding pixel to obtain a preprocessed cirrus cloud image with a pixel size of m×n. Image denoising is performed by median filtering method, which can preserve image edges well.

[0063] Step 2. Obtain the Hurst expo...

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Abstract

The invention discloses an infrared imaging cirrus cloud detection method based on fractal dictionary learning, which relates to the technical field of infrared image processing, because there are a large number of false alarm sources with high radiation energy in the infrared imaging band, and the false alarm sources will interfere with the target detection. The specific steps of the present invention for solving the problem of false alarm source interference target detection are as follows: 1. Input an infrared image of cirrus cloud to be detected, and filter and denoise it to obtain a preprocessed cirrus cloud image; 2. Obtain a preprocessed cirrus cloud image The Hurst exponent value of image; 3. get random fractal image based on the Hurst exponent value obtained in step 2 and the rhombus-square subdivision method, and construct an over-complete dictionary D based on random fractal image; 4. utilize K-SVD algorithm to process The complete dictionary D performs sparse coding and dictionary update to obtain a sparse representation image; 5. Performs morphological filtering and image segmentation processing on the sparse representation image to obtain a detection result map. The detection method is easy to implement, has high detection accuracy and short calculation time of the algorithm.

Description

technical field [0001] The invention relates to the technical field of infrared image processing, in particular to an infrared imaging cirrus cloud detection method based on fractal dictionary learning. Background technique [0002] Infrared satellites are an important part of the earth observation and remote sensing system, and play an important role in missile interception and early warning. Due to the infrared satellite imaging system, there are false alarm sources with high radiation energy in the infrared imaging band, mainly natural landscapes, such as snow-capped mountains, high-altitude cirrus clouds, frozen rivers and other high-radiation terrain or phenomena, and the target in the infrared image The performance is similar, with a higher gray scale, so it may cause false alarms in the remote sensing early warning system. [0003] Through the study of image texture, it is found that natural landscapes usually have the characteristics of irregular shape, rough gray s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06T7/12G06T7/90
CPCG06T7/0002G06T7/12G06T7/90G06T2207/10048G06T2207/10032G06T2207/20081G06T2207/20036G06T2207/30181G06T5/70
Inventor 吕昱霄彭真明曹思颖刘雨菡彭凌冰杨春平宋立张鹏飞王光慧曹兆洋高原
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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