期刊名称：Archiwum Fotogrametrii, Kartografii i Teledetekcji
印刷版ISSN：2083-2214
出版年度：2008
卷号：18
语种：English
出版社：Main Board of Association of Polish Surveyors
摘要：The work presented was aimed at constructing a semi-automatic work-flow of Digital Surface Model (DSM) and Digital Terrain Model (DTM) generation based on an ALS point cloud gathered in a very difficult mountain area. The study area located in the Polish part of the Tatras Mountains covered about 60 km2 and included the Kasprowy Wierch,KuĨnice,and downtown Zakopane with the Gubaáówka. ALS data,collected in 2007,consisted of 33 scans (minimum density of 20 points/m2 ). To combine all the scans and match them to the coordinate system, planar surfaces (building roofs) were measured using a tachimeter and a dGPS survey. Position errors of the ALS points in the horizontal plane varied from -0.09m to +0.28m;height errors ranged from -0.12m to 0.14m (HAE). The operator delivered the data separately from 2 Riegl Q- 560 scanners,for every FE and LE. The ALS files,due to their huge size,were divided into smaller ones and generated 353 sheets (500x500 m in size ) for every scanner and number of returns combination. The point cloud was filtered and assigned to the following levels: "low points”,"ground","low vegetation”,"medium vegetation”,"high vegetation” and "air points”. To generate a DSM,a special class called "ground_inverse" was created;it required an operator control supported by a digital orthophoto (RGB\CIR;Vexcel camera). For every sheet processed, the DTM and DSM were generated. Those verified models served as a basis for developing an nDSM model using the ER Mapper software. The nDSM shows relative heights of objects in the study area (forest stands,dwarf mountain pines,buildings,power lines,ski lifts,etc.). Development of a precise DSM and nDSM as well as analyses of the nDSM open new perspectives for numerous scientific projects.
其他摘要：Celem pracy byáo zaprezentowanie metod zastosowanych w póá- automatycznym procesie generowania numerycznych modeli bazujących na chmurze punktów zarejestrowanych technologią lotniczego skaningu laserowego (ang. Airborne Laser Scanning; ALS) w trudnych obs
