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Target recognition method and device

A target recognition and target technology, applied in the field of image processing, can solve the problems of strong environmental noise and system noise, insufficient capability, small dimension, etc., to achieve the effect of suppressing system noise and environmental noise and preventing misjudgment

Inactive Publication Date: 2018-11-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the power line is a very weak linear object in remote sensing images, which has the characteristics of small dimension (at the sub-pixel level), complex background, etc.
When using the above-mentioned traditional technology to identify this kind of weak linear target, due to the presence of environmental noise and system noise that are stronger than the target to be identified, various problems such as misjudgment often occur
Furthermore, existing linear object recognition methods are often insufficient when dealing with short line segments

Method used

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Examples

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example 1

[0066] Figure 4 (a) shows a synthetic image with a real satellite image as the background, which includes forests, buildings, roads, etc. There are two power lines from the upper left to the lower right in the image, and the two roofs in the left middle and upper right corner of the background of the image are high-brightness planar targets. Figure 4 (b) shows the results of linear feature detection using traditional Radon transform, where almost all false straight lines are caused by bright planar objects. Figure 4 (c) The result of linear feature detection using traditional Radon transform after edge detection. From Figure 4 (c) It can be seen that although the false straight lines caused by bright planar targets are successfully eliminated, there are a large number of false straight lines caused by forest land in the detection results. Figure 4 (d) shows the result of linear feature detection using the method of the present invention after edge detection. From Fi...

example 2

[0068] Figure 5 The composite image of (a) includes short line segments to simulate the wake of a ship, and this V-shaped wake is found to be useful for tracking the ship. Gaussian noise pair with variance equal to 5 Figure 5 (a) Perform noise processing to get Figure 5 (b) The image to be processed. Using the target recognition method proposed by the present invention to Figure 5 (b) After target recognition, get the following Figure 5 (c) The results shown. From Figure 5 (c) It can be seen that the method of the present invention can also successfully identify short line segments. Figure 5 (d) and Figure 5 (e) respectively show the two-dimensional distribution in Radon space when using traditional Radon numbering to perform linear feature detection and using the method of the present invention to perform linear feature detection. By comparing the two figures, it can be seen that the method of the present invention effectively suppresses the noise and enhances...

example 3

[0070] Figure 6 (a) is the original image to be processed, which is a GeoEye-1 remote sensing image with a resolution of 512×512. From Figure 6 In (a), it can be seen that there is a power line diagonally across the image from the north to the southeast on the remote sensing image. The background is very complex, including bare land, roads, substations, and large forests in the south. There is a lot of noise, which increases the identification and recognition of power lines. extraction difficulty. The result of edge detection is as follows Figure 6 As shown in (b), it can be seen that a large amount of system noise exists. Figure 6 (c) shows the result of target recognition using the method of the present invention. From Figure 6 It can be seen in (c) that in addition to the power lines of interest, the road information of the image to be processed is also extracted. At this time, in order to further extract the power lines to be extracted, the following characteris...

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Abstract

The invention discloses a target recognition method and device. The object recognition method includes the following steps: using a linear feature detection method to perform linear feature detection on the image to be recognized to obtain the detected linear feature, and the linear feature detection method converts the detection of the linear feature of the image space into the detection of another spatial extreme point And wherein a continuous clustering operator is used to make the continuous image points have a greater weight than the discrete image points in the conversion; and according to the characteristics of the target to be recognized in the image to be recognized, the detected linear features are identified Target. Using the target recognition method and device according to the present invention, when detecting and identifying weak linear targets from high-resolution remote sensing images, system noise and environmental noise can be effectively suppressed, targets can be successfully identified and extracted, misjudgments can be prevented, and detection short line segment.

Description

technical field [0001] The present invention relates to image processing technology, in particular, to a linear target recognition method and device. Background technique [0002] Remote sensing images include rich surface linear features, such as roads, railways, rivers, coastlines, etc. Recognizing linear features from remote sensing images is a problem that has been widely concerned by researchers. Considering the importance of road information and the need to update the earth information system, past researches mostly focused on road information extraction. In the past few decades, many researchers have proposed various solutions to this problem to identify and extract road information from high-resolution aerial images, Synthetic Aperture Radar (SAR) images, and high-resolution satellite images. [0003] Another important target in remote sensing images is the power line. Traditional research focuses on extracting power line information from LiDAR images, helicopter ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06V10/44G06V10/48
CPCG06V20/13G06V10/48G06T7/13G06V20/182G06V10/255G06V10/44G06T2207/10032G06T2207/30184G06V20/176
Inventor 陈云坪童玲韩威宏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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