Adaptive Mosaicing: Principle and Application to the Mosaicing of Large Image Data Sets

Authors:
Conrad Bielski;Pierre Soille
Affiliations:
Institute for Environment and Sustainability, DG Joint Research Centre, European Commission, I-21020 Ispra (VA), Italy;Institute for Environment and Sustainability, DG Joint Research Centre, European Commission, I-21020 Ispra (VA), Italy
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

Automatic image compositing of very large data sets is necessary for the creation of extensive mosaics based on high spatial resolution remotely sensed imagery. A novel morphological image compositing algorithm has been developed which adapts to salient images edges. This technique produces seam lines that are difficult to identify by the naked eye which is also a characteristic to measure the quality of the resulting seam line. This paper begins with a description of the methodology and results based on Landsat 7 ETM+ imagery. It is also shown how updates to an already composited image data set can be easily made without having to reprocess the entire data set. Finally, ways of quantifying the quality of an automatically delineated cut line and future research directions are discussed.