REPLACEMENT SENSOR MODEL (RSM) PERFORMANCE FOR TRIANGULATION AND GEOPOSITIONING
Charles Ray Taylor, T. Dolloff, Michelle Iiyama · 2008
The Replacement Sensor Model (RSM) allows the functionality of many diverse sensor models to be captured in a single generic model. The RSM concept is for the replacement support data to be generated from the original sensor models and their image support data “up-stream” of the user community. Geopositioning performance studies of RSM compare the absolute and relative geolocations and error estimates (accuracy predictions) for objects or “targets” extracted from images using original sensor models with those extracted using RSM with the same image measurements. Triangulation performance studies of RSM compare the absolute and relative geolocations and error estimates of tie points that participate in triangulations. In these studies, two triangulations are performed – one based on the original sensor models and their image support data, and another based on the RSM sensor models and their image support data. The most recent RSM triangulation and geopositioning performance results are presented in this paper, incorporating the latest enhancements in RSM adjustability and error modeling. The results show that the RSM performance is virtually equivalent to the original sensor model performance.