Abnormal scene recognition method based on multi-source aerial photographs

A scene recognition and aerial photo technology, applied in the field of abnormal scene recognition of multi-source aerial photos, can solve the problem of scene recognition of undiscovered three-source aerial photos, and achieve the effect of speeding up the calculation speed

Active Publication Date: 2019-04-19
SHANGHAI JIAO TONG UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

So far, no research on scene recognition of the three-source aerial film has been found at home and abroad.

Method used

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  • Abnormal scene recognition method based on multi-source aerial photographs
  • Abnormal scene recognition method based on multi-source aerial photographs
  • Abnormal scene recognition method based on multi-source aerial photographs

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Embodiment Construction

[0050] Below in conjunction with accompanying drawing and embodiment, the present invention is described in detail: the example that this embodiment is carried out under the premise of the technical solution of the present invention, has verified the present invention for contraband drug processing field, these two kinds of scenes of terrorism-related training camp Identify the effect, and give the detailed implementation and process, but the protection scope of the present invention should not be limited to the following examples.

[0051] ①First of all, it is an embodiment of using the present invention to identify illegal drug processing plants, please refer to figure 1 and image 3 , figure 1 is a flowchart of the present invention, image 3 It is the input, intermediate process diagram and result diagram of this example. As shown in the figure, the specific implementation of the present invention is divided into two parts, and the steps of the first part are as follows...

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Abstract

An abnormal scene recognition method based on multi-source aerial photographs, firstly detects the abnormal temperature region set and the strong dielectric region set in the far-infrared and SAR images, and combines the results of the two as the suspected abnormal region set. The features of three sources (visible light, far-infrared, SAR) are extracted for the suspected abnormal regions one by one, and the three sources are fused at the feature level. Finally, the fusion features are input into the classifier for classification and recognition. The invention proposes that abnormal temperature or artificial metal products are the common attributes of abnormal scenes, and provides a set of feasible recognition framework, which fills the research blank of using the three-source images for abnormal scene recognition.

Description

technical field [0001] The invention relates to image processing technology, in particular to an abnormal scene recognition method for multi-source aerial photographs by combining DOG (Difference of Gaussians) speckle detection algorithm and CFAR (Constant False-Alarm Rate) detection algorithm. Background technique [0002] The abnormal scene involved in the present invention is different from the definition of traditional research. It refers to the inaccessible area and the scene with traces of abnormal human activities. The basic attributes are abnormal temperature or artificial metal products. These places are often hidden deep in the mountains and deserts, and the manpower census is huge, and they have serious social hazards, such as illegal drug processing plants, terrorist training camps, and illegal casinos. [0003] According to the characteristics of the above scenes, the research and design of UAVs equipped with visible light, far-infrared and SAR cameras are carri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F18/2411
Inventor 李元祥彭希帅徐俊陆永帅
Owner SHANGHAI JIAO TONG UNIV
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