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Image Fusion Quality Assessment of High Resolution Satellite Imagery based on an Object Level Strategy
Farhad Samadzadegan, Farzaneh Dadras Javan
Pages - 140 - 148     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 2    |    Publication Date - April 2013  Table of Contents
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KEYWORDS
Image Fusion, Quality Assessment, Object Level, Pixel Level, High Resolution Satellite Imagery.
ABSTRACT
Considering the importance of fusion accuracy on the quality of fused images, it seems necessary to evaluate the quality of fused images before using them in further applications. Current quality evaluation metrics are mainly developed on the basis of applying quality metrics in pixel level and to evaluate the final quality by average computation. In this paper, an object level strategy for quality assessment of fused images is proposed. Based on the proposed strategy, image fusion quality metrics are applied on image objects and quality assessment of fusion are conducted based on inspecting fusion quality in those image objects. Results clearly show the inconsistency of fusion behavior in different image objects and the weakness of traditional pixel level strategies in handling these heterogeneities.
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Associate Professor Farhad Samadzadegan
University of Tehran - Iran
Samadz@ut.ac.ir
Miss Farzaneh Dadras Javan
University of Tehran - Iran