Power transmission corridor foreign matter detection method and system based on twin network

A twin network and foreign object detection technology, applied in the field of remote sensing, can solve problems such as difficulty in ensuring detection and extraction accuracy, inability to accurately locate changing targets, etc. and reliability effects

Pending Publication Date: 2021-01-12
YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU
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Problems solved by technology

In this case, the existing target detection model is difficult to ensure the detection and extraction accuracy of all ground objects in the scene, and

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  • Power transmission corridor foreign matter detection method and system based on twin network
  • Power transmission corridor foreign matter detection method and system based on twin network
  • Power transmission corridor foreign matter detection method and system based on twin network

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Embodiment Construction

[0027] The present invention will be further described in detail below in conjunction with the examples.

[0028] Those skilled in the art will understand that the following examples are only for illustrating the present invention and should not be considered as limiting the scope of the present invention. If no specific technique or condition is indicated in the examples, it shall be carried out according to the technique or condition described in the literature in this field or according to the product specification. The materials or equipment used are not indicated by the manufacturer, and they are all conventional products that can be obtained through purchase.

[0029] A foreign object detection method for transmission corridors based on Siamese networks. This method makes full use of Siamese network training sets for multi-temporal remote sensing satellite images of existing transmission corridors to obtain a model with high robustness and accuracy. The obtained model i...

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Abstract

The invention relates to a power transmission corridor foreign matter detection method and system based on a twin network, and belongs to the technical field of remote sensing. The method comprises the following steps: firstly, acquiring a multi-temporal remote sensing satellite image of a power transmission corridor, carrying out artificial fine labeling on a change target and a region in the multi-temporal image, then slicing and binarizing the labeled region, then training a training set containing foreign matters in the power transmission corridor by using a twin network, obtaining a modelcapable of detecting the foreign matters in the power transmission corridor, and then detecting the multi-temporal remote sensing satellite image of whether the foreign matters exist in the power transmission corridor or not by using the obtained model to judge whether the foreign matters exist in the power transmission corridor or not. The method can detect and identify various power transmission corridor foreign matters, has calculation efficiency significantly superior to that of a manual method, has higher foreign matter detection accuracy and reliability, and provides convenience for operation and maintenance of a power transmission line.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and specifically relates to a method and system for detecting foreign matter in a power transmission corridor based on a twin network, which is used for detecting changes in multi-temporal remote sensing satellite images of the power transmission corridor, and then discovering foreign matter in the power transmission corridor. Background technique [0002] Foreign object detection in power transmission corridors involves operations such as ground object recognition and multi-temporal change analysis in remote sensing image scenes, and is closely related to ground object detection and change detection technologies. The foreign object detection method based on ground object recognition relies on a ground feature extraction model with high enough recognition accuracy for the multi-temporal image scene to be detected. Changes in appearance, shape, and position are analyzed to obtain targets th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06Q50/06
CPCG06Q50/06G06V20/13G06F18/25G06F18/214
Inventor 黄双得段尚琪张辉许德斌葛兴科陈海东王韬许保瑜胡昌斌
Owner YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU
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