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基于无人机图像的地籍图边界提取研究

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研究基于无人机的地籍测绘潜力,采用ENVI FX特征提取模块用于数据处理.主要描述了该工作流程,包括图像预处理、无人机图像可见边界的自动提取和数据后处理.研究结果表明,对提取的边界图进行滤波以提高结果精度是很重要的,准确度评估的结果表明:80%的边界提取是正确的.基于自动提取方法,所提出的工作流程有可能加速和促进地籍图的创建,但提取的可见边界都必须经过土地所有者和其他受益人的验证.
Research on the Boundary Extraction of Cadastral Maps Based on UAV Images
This paper studies the potential of cadastral mapping based on unmanned aerial vehicles,and uses the ENVI Feature Extraction(FX)module for data processing.It mainly describes this workflow,including image pre-processing,the automatic extraction of the visible boundary of UAV-based images and data post-processing.Re-search findings show that it is very important to filter the extracted boundary maps to improve the accuracy of re-sults,and the results of accuracy assessment show that the extraction of 80%of boundaries is correct.Based on the automatic extraction method,the proposed workflow can accelerate and facilitate the creation of cadastral maps,but the extracted visible boundaries must be validated by landowners and other beneficiaries.

Unmanned aerial vehicleCadastreBoundary extractionGround sample distance

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江西省自然资源测绘与监测院 江西南昌 360001

无人机 地籍 边界提取 地面采样距离

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(11)
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