Novel map updating with remote sensing imagery


Petri Rönnholm, Hannu Hyyppä, Henrik Haggrén      



Availability of different types of remote sensing data, which is capable for map updating at different scales, has significantly improved and it is continuing to do so. Airborne laser scanning capable to prove three-dimensional height information with a resolution of a few decimeters is suitable for map updating at large scale, e.g. 1:500-1:2000, to be used for example in city areas (3-D city models). Airborne digital cameras and airborne very-high-resolution Synthetic Aperture Radar data provide today the possibilities of future space-borne satellite imagery. Even today, it is possible to obtain 1-m resolution space-borne optical data. For small scale map updating, the presently existing high-resolution and medium-resolution satellite imagery can fulfill the requirements. At medium resolution, the use of multiple incidence angles can improve the characterization of the target significantly.

  

The goal of the study is to investigate the potential of different types of advanced remote sensing data in automatic updating of land-use maps, to investigate the potential of laser scanning and aerial colour image data in automatic updating of building information of large-scale city maps and to develop object-oriented, ‘intelligent’ interpretation procedures and methods for these map updating tasks.




In co-operation with Finnish Geodetic Institute.