摘要
传统的基于高分辨率遥感影像进行矢量数据采集的方法,当实地发生变化造成影像纹理无法判读,且外业不能有效的采集变化区域的范围时,不能准确而且高效的采集变化区域的范围,尤其以城市周边不规则待建推土区或者正在建设的建筑工地为典型代表。为解决这些问题,文章提出了一种利用前方交会原理的自检校地理信息矢量数据采集方法:首先利用外业电子设备对利用影像纹理不能判读的地类进行外业边界点和外业特征点的采集;然后利用边界点采集地类范围,利用特征点通过前方交会的方法检验边界点的准确性;最后根据检校结果确定地类边界。结果表明,利用前方交会原理的自检校地理信息矢量数据采集方法不仅能大幅度提升变化区域数据采集的工作效率,而且能明显提高数据采集的准确性。
At present,the traditional vector data collection methods based on high-resolution remote sensing images,when the areas change,resulting in the image textures cannot be interpreted.In particular,the irregular bulldozing areas or construction sites under construction around the city are most obvious.To solve the above problems,this paper proposes an efficient method for geographic information vector data collection.First,we use field electronic equipment to collect boundary points and feature points for land types whose image textures cannot be interpreted,then use the boundary points to collect the land category range,and use the feature points to check the accuracy of the boundary points through the method of forward intersection.Finally,the land boundary is determined based on the checking results.The results show that the self-checking internal and external data collection method based on the principle of forward intersection can not only greatly improve the efficiency of data collection in changing areas,but also significantly improve the accuracy of data collection.
作者
陈志勇
张好贤
张晖
CHEN Zhi-yong;ZHANG Hao-xian;ZHANG Hui(Surveying and Mapping Institute of Gansu Bureau of Geology and Mineral Resources,Lanzhou Gansu 730000,China)
出处
《地矿测绘》
2020年第1期1-4,9,共5页
Surveying and Mapping of Geology and Mineral Resources
关键词
数据采集
遥感影像
前方交会
矢量数据
自检校
data acquisition
remote sensing image
forward intersection
vector data
self-checking
