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Unmanned aerial vehicle image sub-field boundary extraction method and device

An extraction method and UAV technology, applied in the field of agricultural remote sensing to achieve the effect of extraction

Pending Publication Date: 2022-03-25
北京市农林科学院信息技术研究中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method and device for extracting sub-field block boundaries from UAV images to solve the problem that it is difficult to effectively extract the boundaries of farmland sub-field blocks in the prior art

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  • Unmanned aerial vehicle image sub-field boundary extraction method and device
  • Unmanned aerial vehicle image sub-field boundary extraction method and device
  • Unmanned aerial vehicle image sub-field boundary extraction method and device

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Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] It should be noted that, in the description of the embodiments of the present invention, the terms "comprising", "comprising" or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article or device comprising a series of elements Not only those elements are included, but also other elements not expressly listed or inherent in such proc...

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Abstract

The invention provides an unmanned aerial vehicle image sub-field boundary extraction method and device, and the method comprises the steps: carrying out the multi-scale segmentation of a second unmanned aerial vehicle image, and generating at least one sub-image; classifying the sub-images based on the vegetation elevation information of each sub-image, the spatial features of each sub-image and the spectral features of each sub-image, and creating a vegetation type image set and a bare soil type image set; carrying out image merging on the sub-images in the vegetation image set, and carrying out image merging on the sub-images in the bare soil image set to jointly form a sub-farmland field image; and determining an initial sub-farmland boundary related to the sub-farmland field image. According to the method, the vegetation elevation information is acquired through the digital surface model of the multi-temporal unmanned aerial vehicle image, the vegetation elevation information is used as a main feature, and the segmented sub-images are classified by combining the spectral features and the spatial features, so that the sub-field image of the farmland is generated, and the sub-field boundary extraction can be effectively realized.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to a method and device for extracting subfield block boundaries from UAV images. Background technique [0002] "Precision agriculture" is based on the spatial differences of farmland crops and the environment, and obtains basic information of different units of farmland through various technologies, thereby realizing optimal management of farmland. Farmland basic information is the most important basic data for the implementation of "precision agriculture". The acquisition of farmland boundary spatial distribution information can assist in the input of agricultural materials and agricultural machinery scheduling for precision farming. However, the traditional manual digital method to extract the field boundary is not only time-consuming and laborious, but also requires the interpreters to have rich professional knowledge. In recent years, with the continuous incr...

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Application Information

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IPC IPC(8): G06T7/13G06T7/12G06T7/136G06V20/10G06K9/62G06V10/764
CPCG06T7/13G06T7/12G06T7/136G06T2207/10024G06T2207/10032G06T2207/30188G06F18/241
Inventor 李存军周静平郑茜王佳宇覃苑陶欢卢闯田宇杰
Owner 北京市农林科学院信息技术研究中心