PDF HTML阅读 XML下载 导出引用 引用提醒 基于遥感的建筑物高度快速提取研究综述 DOI: 10.5846/stxb201309252361 作者: 作者单位: 中国科学院城市环境研究所 城市环境与健康重点实验室,中国科学院城市环境研究所 城市环境与健康重点实验室,中国科学院城市环境研究所 城市环境与健康重点实验室 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金青年科学基金项目(41101143); 全国生态环境十年(2000-2010年)变化遥感调查与评估专项课题(STSN-11-02) A review on building height extraction using remote sensing images Author: Affiliation: Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:近年来我国城市化进程不断推进,不仅体现在城市面积上的增长,也体现在建筑物高度的增长。高度增长一方面能尽量克服城市土地资源匮乏的瓶颈,另一方面为优化城市结构及城市功能做出贡献。在城市遥感研究领域,对于城市建筑物高度的提取也成为研究的重点。城市建筑物高度的估计与测量,已成为城市规划和扩张、城市灾害风险预警与评估的重要参数,同时也为数字城市三维模型的建立提供了基础测绘资料。分别基于光学遥感影像、高分辨率SAR(Synthetic Aperture Radar)影像以及光学遥感影像与高分辨率SAR影像的融合三方面,全面阐述城市建筑物高度的提取方法,并比较两类影像在提取建筑物高度的优劣势,通过回顾早年研究方法,逐步引入近年来新的发展趋势。 Abstract:The processes of Chinese urbanization are characterized by both horizontal expansion and vertical growth of buildings. Compared with urban surface expansion, urban height rising seems particularly important for sustainable urbanization. The vertical increase in buildings is helpful to reduce using land resources that are scare in China, and can contribute positively to the optimization of urban landscape structure and urban functions. Estimating and measuring building height has become one of the most significant factors in urban planning, urban expansion, urban disaster warning and assessing, as well as providing initial mapping data for creating three-dimensional (3D) digital city models. This paper reviews the methodologies of extracting building height, making use of various optical remote sensing images, VHR (Very High Resolution) SAR images, and the fusion of optical images and VHR SAR images. Then we summarize the advantages and disadvantages of the three techniques. When optical images are available, the shadows of buildings are often used to calculate building height. The accuracy of this technique varies tremendously depending on algorithms. Supervised classification method and edge detection method were widely used in recent years. In addition, the volumetric shadow analysis and areal shadow analysis also become more and more popular. If SAR images are available, the use of single VHR SAR image is an effective way to extract building height. Radar interferometry method, stereo-pair method, and quantitative analysis in electromagnetic intensity of backward scattering are also commonly used. Either optical or SAR images has its drawbacks for extracting building height. As a result, the fusion method that integrating optical images and SAR images are adopted, and it proves to be an accurate way of building height extraction. Apart from the accuracy of calculating building height, we need to take the other important elements into account, such as cost, complexities and application ranges in practice. Based on the comparisons of the three techniques mentioned above, we can also summarize the temporal progress in researches on building height extraction in the past decades and analyze the trend of future technical development in building height detection. With the improved monitoring methods, accumulated experience and innovated technologies, a low-cost, practical and accurate method on extracting building height will be found out in the near future. At last, paying more attention on building height also means paying more attention on urban height, and the expansion of urban height has an important effect on city's 3D expansion. For one thing, the vertical growth of cities is good at easing urban horizontal expansion pressure. For another, the increases in building height make it possible for maintaining city's compact spatial form. 参考文献 相似文献 引证文献