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Method for identifying surveying and mapping behaviors of unmanned aerial vehicle

A drone and behavior technology, applied in the field of data surveying and mapping, can solve the problems of low accuracy, low recognition efficiency, and the recognition results are easily affected by human supervisor factors, and achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2022-06-24
湖南省测绘科技研究所
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current UAV identification method based on location big data mainly relies on manual combination of map and point information, which has problems such as low identification efficiency, low accuracy, and identification results are easily affected by human supervisory factors.
Existing technologies are difficult to meet the needs of UAV surveying and mapping behavior recognition in provincial (district) or even national base station networks

Method used

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  • Method for identifying surveying and mapping behaviors of unmanned aerial vehicle
  • Method for identifying surveying and mapping behaviors of unmanned aerial vehicle
  • Method for identifying surveying and mapping behaviors of unmanned aerial vehicle

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Embodiment Construction

[0050] The present invention will be described in detail below with reference to the accompanying drawings. The description in this part is only exemplary and explanatory, and should not have any limiting effect on the protection scope of the present invention. In addition, according to the description in this document, those skilled in the art can make corresponding combinations of features in the embodiments in this document and in different embodiments.

[0051] Examples of the present invention are as follows, such as figure 1 As shown, a method for identifying UAV mapping behavior includes the following steps

[0052] S01. Data preprocessing, constructing trajectory objects from UAV surveying and mapping behavior data;

[0053] S02. Determine characteristic indicators, and determine at least 2 features in elevation, speed, number of satellites, fixed scale, duration, coverage area, average curvature, total number of points, aspect ratio of coverage area, distance between...

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Abstract

The invention discloses a method for identifying unmanned aerial vehicle surveying and mapping behaviors, which adopts a BP neural network as a machine learning model, realizes the effect of identifying and extracting unmanned aerial vehicle surveying and mapping behaviors from location big data of network RTK service, and improves the identification efficiency and accuracy. And a solid foundation is laid for further precise supervision of the flight of the unmanned aerial vehicle.

Description

technical field [0001] The invention belongs to the field of data surveying and mapping, and particularly relates to a method for identifying the surveying and mapping behavior of unmanned aerial vehicles. Background technique [0002] Differential positioning based on Reference stations Using Global NavigationSatellite System is widely used in various surveying and mapping activities, such as UAV surveying and mapping, control point surveying, road stakeout, geological hazard monitoring, bridge and dam monitoring and even intelligent driving etc. Among them, UAV surveying and mapping has become one of the important service scenarios of the reference station network due to its advantages of simple operation and large coverage area. [0003] The popularization and application of drones have brought new challenges to the supervision of the surveying and mapping geographic information industry. Quickly and accurately discovering and identifying UAV surveying and mapping behav...

Claims

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Application Information

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IPC IPC(8): G06V10/764G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214G06F18/241
Inventor 敖敏思陈春花曾翔强张玉冰楚彬黎晨曦
Owner 湖南省测绘科技研究所