Direct Platform Orientation of Multisensor Data Acquisition Systems
نویسنده
چکیده
With increased use of various new sensors in mapping such as digital cameras, multi/hyperspectral scanners, radiometers, LIDAR, SAR (IFSAR), etc; multisensor data fusion has become an extremely crucial task of spatial data processing. One of the key aspects of integrating various data types is data geo-referencing. Direct platform orientation provides an efficient tool for geo-referencing at the data acquisition level, by substantially supporting the multisensor data integration process through furnishing a common geo-coding frame at a very early point. The Airborne Integrated Mapping System (AIMS ) developed at The Center for Mapping at The Ohio State University offers GPS/INS-based integrated direct platform orientation. Currently, the imaging component of the AIMS prototype system is based on a high-resolution Charge-Coupled Device (CCD), a solid-state image sensor capturing 4K by 4K panchromatic imagery. In cooperation with AIMS partners, however, laser and multi/hyper spectral sensors have been also included in a series of test flights. This paper investigates the performance of the AIMS GPS/INS orientation module as well as the data fusion experiences obtained from various sensor data.
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