Model-based matching for precise sensor fusion

Richard W. Ely; Walter J. Mueller

doi:10.1117/12.243184

14 June 1996 Model-based matching for precise sensor fusion

Richard W. Ely, Walter J. Mueller

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243184
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Image sensor fusion techniques such as model supported exploitation require accurate image support data to ensure accurate image-to-image or image-to-site model registration. Photogrammetric control of imagery is currently a time consuming process but necessary for these applications. For areas which are exploited repeatedly, a database of control features can be built and used by an automatic algorithm to control new images. The algorithm automatically locates the control features in the images and uses the resulting correspondences to perform a rigorous adjustment of the image support data which accurately ties the image to ground coordinates. Other source data referenced to ground coordinates is by association registered to the imagery and can be used to support sensor/data fusion algorithms. The approach for creating, maintaining and applying the control features is discussed.

Citation Download Citation

Richard W. Ely and Walter J. Mueller "Model-based matching for precise sensor fusion", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243184

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