A Parallel Extraction Method of Trees and Plants from UAV Images

An extraction method and unmanned aerial vehicle technology, applied in the field of investigation and research of forest plants, can solve the problems of low accuracy, long algorithm time-consuming, difficult to identify trees at the same time, and achieve high efficiency, speed and high precision
CN106326846BInactive Publication Date: 2018-03-16GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
Publication Date
2018-03-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method for parallel extraction of trees and plants from UAV images. Firstly, the method of GPU parallel processing is used to detect binary large-scale objects based on scale space technology on forest images captured by UAVs to obtain detection points, and then Use the CPU serial method to delete the detection points that do not contain green, and the remaining detection points are the extraction results. The scale-space technology adopted can identify trees of different canopy sizes at various scales with high precision. Moreover, the method of object detection is performed by using GPU parallel processing, which makes this extraction method have high efficiency and speed. Plant investigation and research provided support.
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Description

Technical field

[0001] The invention relates to the technical field of forest tree plant investigation and research, in particular to a method for parallel extraction of forest tree plants from drone images. Background technique

[0002] UAV passive optical remote sensing has greater advantages than satellite passive optical remote sensing in terms of temporal and spatial resolution, availability, and cost. At present, more and more applications are used in forest tree plant investigation and research. For the extraction of forest trees (mainly orchards, plantations, etc.), digital image processing technology is mainly used to identify individual target plants from images taken by drones and perform statistics or analysis.

[0003] However, the accuracy of current digital image processing technology is generally low, and it is difficult to identify trees in different canopies at the same time. At the same time, due to the generally high resolution of current UAV images, digital im...

Claims

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