Automated Vector Extraction from Airborne Laser Scan Data

从机载激光扫描数据中自动提取矢量。该项目考虑了从机载激光扫描(ALS)数据中自动提取和矢量化目标轮廓的问题。行业合作伙伴AAM GeoScan是澳大利亚ALS系统的领先用户，需要为该问题开发自动化解决方案。ALS数据通常是3D点数据的密集云，表示局部地形以及可能在视野中的任何树木、建筑物或车辆。空间数据是一种非常重要的资源，广泛应用于多种类型的城乡规划业务。规划软件包需要建筑轮廓和其他空间数据的矢量化描述，但目前无法从原始ALS数据中获得这一点。该项目将调查这一问题，并开发新的有效方法，从原始的ALS数据自动产生它。预期结果包括成功获得研究硕士学位，为问题开发直接适用于行业合作伙伴核心业务的新解决方案，同行评议的出版物，以及加强大学与行业合作伙伴之间的联系。

Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in the field of view. Spatial data is a very important resource, widely used in many types of urban and rural planning operations. Planning software packages require vectorised descriptions of building outlines and other spatial data, however this is not presently available from raw ALS data. The project will investigate this problem and develop new and effective means for producing it automatically from raw ALS data. Expected outcomes include a successful research masters studentship, the development of novel solutions to the problem which are directly applicable to the industry partner's core business, peer reviewed publications, and an strengthened link between the universities and the industry partner.