A fully automated image co-registration system

Daniel A. Lavigne

doi:10.1117/12.659070

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17 May 2006 A fully automated image co-registration system

Daniel A. Lavigne

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Proceedings Volume 6235, Signal Processing, Sensor Fusion, and Target Recognition XV; 623518 (2006) https://doi.org/10.1117/12.659070
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Current surveillance and reconnaissance systems require improved capability to enable the co-registration of larger images, combining enhanced temporal, spatial, and spectral resolutions. However, such proficient remote sensing systems cannot employ traditional manual exploitation techniques to cope successfully with the avalanche of data to be processed and analyzed. Automated image exploitation tools may be employed if the images are already co-registered together. Therefore, there is a need to develop fully automated co-registration algorithms able to deal with different scenarios, and helpful to be used successively for numerous applications such as image data fusion, change detection, and target detection. This paper describes the Automated Multi-sensor Image Registration (AMIR) system and embedded algorithms under development at DRDC-Valcartier. The AMIR system provides a framework for the automated multi-date registration of electro-optic images, acquired from different sensors and from dissimilar oblique view angles. The system is characterized by its fully automated nature, where no user intervention prevailed. Advanced image algorithms are used in order to supply the capability to register multi-date electro-optic images acquired from different viewpoints, under singular operational conditions, multiple scenarios (e.g. airport, harbor, vegetation, urban, etc.), different spatial resolutions (e.g. IKONOS/QuickBird, Airborne/Spaceborne), while providing sub-pixel accuracy registration level.

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Daniel A. Lavigne "A fully automated image co-registration system", Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 623518 (17 May 2006); https://doi.org/10.1117/12.659070

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