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Detection method for high-altitude cirrus cloud of remote sensing image

A detection method and remote sensing image technology, applied in the field of image processing, can solve the problems of unfavorable development of cirrus cloud detection work, high requirements for imaging equipment, and low real-time performance of cirrus cloud detection methods, so as to improve the universality and the detection effect is accurate. , the effect of easy algorithm steps

Inactive Publication Date: 2018-10-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is: in order to solve the problem that the existing cirrus cloud detection method is not high in real time, and has high requirements on imaging equipment, which is not conducive to the development of cirrus cloud detection work, the present invention provides a remote sensing image high-altitude cirrus cloud Detection method

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  • Detection method for high-altitude cirrus cloud of remote sensing image
  • Detection method for high-altitude cirrus cloud of remote sensing image
  • Detection method for high-altitude cirrus cloud of remote sensing image

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Embodiment 1

[0040] Such as figure 1 As shown, the present embodiment provides a method for detecting high-altitude cirrus clouds in remote sensing images, including the following steps:

[0041] S1. Input the original image of remote sensing infrared high-altitude cirrus clouds to be detected;

[0042] S2. Perform median filtering processing on the original image to obtain a denoising image of the original image;

[0043] S3, performing power-law transformation processing on the denoising image of the original image to obtain a contrast-enhanced image;

[0044] S4, using the luminance contrast algorithm (Luminance Contrast, LC) to process the contrast enhancement map to obtain the saliency map;

[0045] S5, using the accelerated segmentation test feature detection algorithm (Features From Accelerated SegmentTest, FAST) to process the saliency map to obtain a FAST feature map with FAST feature points;

[0046] S6. Perform target frame selection according to the positions of the FAST fea...

Embodiment 2

[0049] Such as Figure 2 to Figure 8 As shown, this embodiment is further optimized on the basis of Embodiment 1, and a method for detecting high-altitude cirrus clouds in remote sensing images is provided, including the following steps:

[0050] S1. Input the original image f of remote sensing infrared high-altitude cirrus clouds to be detected 1 (x, y), where (x, y) represents the coordinates of the pixel in the original image, in the present embodiment, x∈(0,319), y∈(0,255);

[0051] S2, for the original image f 1 (x, y) performs median filter processing to remove salt and pepper noise, the formula is:

[0052] f m (x,y)=median{f round (x,y)} ①

[0053] f 2 (x,y)=f m (x,y)②

[0054] Take the original image f 1 For each pixel in (x, y), set a 3*3 neighborhood, and for the gray value f in each neighborhood round (x,y) Sort from small to large, determine the median f m (x,y), then take the median f m (x,y) replaces the original gray value f of the corresponding pixel...

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Abstract

The invention discloses a detection method for a high-altitude cirrus cloud of a remote sensing image, and relates to the technical field of image processing. The method comprises the following stepsof S1, inputting a to-be-detected remote sensing infrared high-altitude cirrus cloud original image; S2, performing median filtering processing on the original image to obtain an original image denoising graph; S3, performing power law transform processing on the original image denoising graph to obtain a contrast enhancement graph; S4, processing the contrast enhancement graph by applying a brightness contrast algorithm to obtain a saliency graph; S5, processing the saliency graph by applying an accelerated segmentation test characteristic detection algorithm to obtain a FAST feature graph with FAST feature points; and S6, performing target frame selection according to the FAST feature points in the FAST feature graph, thereby obtaining a final frame selection detection result graph. Themethod has the advantages of high timeliness, low requirement on imaging equipment and accurate detection result.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a detection method based on image preprocessing, visual salience features and corner features, and more specifically to a detection method for high-altitude cirrus clouds in remote sensing images. Background technique [0002] In recent years, remote sensing technology has been widely used in the fields of military, space-based detection and meteorological analysis. Space infrared satellites are an important part of earth observation and remote sensing systems, and play an important role in early warning and missile interception. For space infrared satellite imaging systems, there are a large number of false alarm sources with high radiation energy in the imaging band, such as high-altitude cirrus clouds, which will inevitably interfere with the imaging system. In addition, due to the influence of atmospheric radiation, the radiation characteristics of the target...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06K9/46
CPCG06T7/0002G06T2207/10032G06V10/462G06T5/70
Inventor 彭真明吴逢信张明英卢耀坤黄苏琦刘雨菡梁航贲庆妍张鹏飞张兰丹杨春平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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