Title :
Sensor and data fusion contest: information for mapping from airborne SAR and optical imagery
Author :
Hellwich, Olaf ; Heipke, Christian ; Wessel, Birgit
Author_Institution :
Chair for Photogrammetry & Remote Sensing, Technische Univ. Munchen, Munich, Germany
Abstract :
The concept of a sensor and data fusion contest on topographic mapping from SAR and optical imagery is presented. The image data to be used in the test will have a spatial resolution of approximately 1 m or better. The SAR data will be multi-frequency polarimetric INSAR data, the optical data will be multispectral. The goal of processing is the extraction of topographic objects which are commonly subject of mapping projects, e.g. roads, built-up areas and other land cover/land use classes. The final scope of the test will be defined after interaction with potential participants of the test. Besides the image data, digital reference maps will be compiled for the test sites. For this task, contributions from e.g. official mapping authorities would be very valuable. The data fusion contest will be organized in the framework of the IEEE GRSS data fusion technical committee (DFC), the ISPRS working group III/6 "Multi-Source Vision" which both have strong relations with scientists active in research on multi-sensor fusion and automation in mapping, and - as the provider of the main organizational framework - the European Organization for Experimental Photogrammetric Research (OEEPE) which is the research platform of national mapping agencies and other institutions regarding technology developments to optimise the use of core data in a geoinformation infrastructure context
Keywords :
airborne radar; optical information processing; photogrammetry; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; European Organization for Experimental Photogrammetric Research; IEEE GRSS data fusion technical committee; ISPRS working group III/6 Multi-Source Vision; OEEPE; SAR data; SAR imagery; automation mapping; built-up areas; data fusion contest; digital reference maps; geoinformation infrastructure; image data; land cover classes; land use classes; mapping projects; multi-frequency polarimetric INSAR data; multispectral optical data; optical imagery; roads; sensor contest; spatial resolution; technology developments; topographic mapping; Automation; Data mining; Digital-to-frequency converters; Image sensors; Optical sensors; Roads; Sensor fusion; Spatial resolution; Synthetic aperture radar interferometry; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978165