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基于遥感和GPS的高层建筑密度自动测量

Automatic density measurement of high-rise building based on remote sensing and GPS
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摘要 传统的高层建筑密度测量方法存在测量精度低、测量时间长等缺点,为此提出基于遥感和GPS的高层建筑密度自动测量。通过GPS对高层建筑区域进行定位,通过脉冲信号获得遥感模拟图像,通过采样和量化实现遥感图像数字化,通过分割算法在遥感数字图像中提取建筑物信息,采用神经元算法将建筑物进行分类,通过程序设置自动计算高层建筑密度,至此完成基于遥感和GPS的高层建筑密度自动测量。从测量误差率和测量时间两方面,对提出的基于遥感和GPS的高层建筑密度自动测量方法与传统的高层建筑密度测量方法进行对比实验。实验结果表明,与传统的高层建筑密度测量方法相比,采用提出的高层建筑密度自动测量方法,其误差率仅为0~0.04%,所需测量时间仅为8 min^15 min。提出的测量方法的测量精度更高,所需测量时间更短,可以更有效地实现对高层建筑密度的测量。 Traditional high-rise building density measurement methods have shortcomings such as low measurement accuracy and long measurement time.For this reason,automatic measurement of high-rise building density based on remote sensing and GPS is proposed.The high-rise building area is located by GPS,the remote sensing simulation image is obtained by pulse signal,the remote sensing image is digitized by sampling and quantization,the building information is extracted in the remote sensing digital image by the segmentation algorithm,and the building is classified by the neuron algorithm.The density of tall buildings is automatically calculated by the program settings,thus the automatic measurement of high-rise building density based on remote sensing and GPS is completed.From the two aspects of measurement error rate and measurement time,the proposed remote sensing and GPS-based high-rise building density measurement method is compared with the traditional high-rise building density measurement method.The experimental results show that compared with the traditional high-rise building density measurement method,the proposed automatic measurement method for high-rise building density has an error rate of only 0~0.04%,and the required measurement time is only 8 min^15 min.The proposed measurement method has higher measurement accuracy and shorter measurement time,which can more effectively measure the density of high-rise buildings.
作者 贺婧 HE Jing(Yangling Vocational and Technical College,Xianyang Shanxi 712100,China)
出处 《自动化与仪器仪表》 2020年第5期138-141,共4页 Automation & Instrumentation
基金 杨凌职业技术学院自然科学研究基金项目“ExcelVBA在道路工程测量中的应用研究”(No.A2018037) 杨凌职业技术学院人文社科(教改)研究基金项目“基于SPOC的混合式教学模式的应用研究”(No.GJ1837)。
关键词 遥感 GPS 高层建筑 密度测量 remote sensing GPS high-rise buildings density measurement
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