期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：One aspect of the recent paradigm shift in geospatial information sciences is that data acquisition and processing systems havemoved away from the single sensor-based model to advanced integrated multisensory systems, which typically include imagingand navigation sensors. Active sensors, such as Light Detection and Ranging (LiDAR) and Interferometric Synthetic ApertureRadar (IFSAR), are routinely used with conventional optical sensing where a new generation of high-performance digitalcamera systems have been developed in the past few years. The direct georeferencing of the remote sensing platform is usuallyprovided by state-of-the-art navigation technology based on the Global Positioning System/Inertial Measurement Unit(GPS/IMU).As the number of sensors has increased, the error budget calculations for derived geospatial products has become more complex;the number of contributing terms has shown a multi-fold increase. The focus of calibration has shifted from individual sensorcalibration to system calibration to consider interrelationships between multiple sensors. At the system calibration level, eventhe error contributions of in-scene objects play an increased role and must be more carefully considered. Research to date hasbeen primarily focused on individual sensor calibration or calibration of a pair of sensors. The objective of this investigation isto combine the effects of all the sensor and sensor-related errors to obtain the overall error budget of airborne remote sensingsensor suites. The error budget should include all navigation errors, imaging sensor modeling errors, inter-sensor calibrationerrors, and object space characteristics.
