基于众源轨迹数据的人造地表覆盖增量信息提取  

Land Cover Change-only Artificial Surfaces Data Extraction Using Crowd Sourcing Trajectory

作　　者：高永伟[1] 周晓光[1] 任常青[2] 

机构地区：[1]中南大学地球科学与信息物理学院,湖南长沙410083 [2]国家测绘地理信息局第一航测遥感院,陕西西安710054

出　　处：《地理信息世界》2017年第3期42-48,共7页Geomatics World

基　　金：国家自然科学基金(41371366)(201401-201712);国家重点研发计划项目(2016YFB0501403)资助

摘　　要：目前,我国已研制出2000年、2010年两期30m分辨率全球地表覆盖数据集。为了保持该数据集的现势性,需要及时发现全球地表覆盖增量信息并更新相应数据。采用遥感影像、测绘数据提取全球地表覆盖变化信息的传统方式,存在费用高,不及时等问题。近年来众源地理数据迅猛发展,特别是由于众源轨迹数据具有免费共享、可靠性强与准实时等优点被广泛应用在交通道路信息提取的应用中。经分析我们发现轨迹数据与人造地表覆盖之间存在一定的对应关系,因此,本文研究提出了一种采用众源轨迹提取人造地表覆盖增量信息的方法。该方法首先对原始轨迹数据进行预处理,然后将轨迹数据栅格化,再依据轨迹点栅格覆盖比率进行人造地表覆盖数据粗提取并去除微小孔洞及独立栅格单元,最后将其与全球人造地表覆盖数据作栅格运算提取人造地表覆盖增量信息,并用纽约市实际轨迹数据验证了该方法的可行性。At present, China has developed the first global 30 m resolution land cx〉ver datasets for year 2000 and 2010. In order to keep the sustainable updating of the datasets, it is necessary to discover the global land cover change-only data and update the corresponding data set in time. Traditionally, professionals extract the global land cover change- only infonnation from remote sensing image, surveying and mapping data. While the cost of this method is higher, and it is not timely. In recent years, the crowd sourcing geospatial data is developing quickly. The crowd sourcing trajectory data is widely used in traffic road iirformation extraction because of the advantages o f free-sharing, strong reliability and quasi-real-time. According to our research, there is some relationship between trajectory data and artificial surfaces data. Therefore, the authors present a method to extract the artificial surfaces change-only infonnation using trajectory data. Firstly, the original trajectory data were preprcx^ssed and rasterized, then the rough extraction was carried out according to the coverage ratio of rasterized trajectory; the micro-holes and the independent grids were removed. Then the achieved artificial surfaces data was compared with the existing LandCover30 classified data to obtain the change-only artificial surfaces information. Finally,the data was used to verify the feasibility of the method presented in this paper.

关 键 词：众源轨迹数据 人造地表覆盖 覆盖比率 增量信息 

分 类 号：P237[天文地球—摄影测量与遥感]