Authors
Uttam Kumar, Anindita Dasgupta, Chiranjit Mukhopadhyay, NV Joshi, TV Ramachandra
Publication date
2011/3/1
Source
International Journal of Research and Reviews in Computer Science
Volume
2
Issue
1
Pages
40
Publisher
Kohat University of Science and Technology (KUST)
Description
Fusion of multi-sensor imaging data enables a synergetic interpretation of complementary information obtained by sensors of different spectral ranges. Multi-sensor data of diverse spectral, spatial and temporal resolutions require advanced numerical techniques for analysis and interpretation. This paper reviews ten advanced pixel based image fusion techniques–Component substitution (COS), Local mean and variance matching, Modified IHS (Intensity Hue Saturation), Fast Fourier Transformed-enhanced IHS, Laplacian Pyramid, Local regression, Smoothing filter (SF), Sparkle, SVHC and Synthetic Variable Ratio. The above techniques were tested on IKONOS data (Panchromatic band at 1 m spatial resolution and Multispectral 4 bands at 4 m spatial resolution). Evaluation of the fused results through various accuracy measures, revealed that SF and COS methods produce images closest to corresponding multi-sensor would observe at the highest resolution level (1 m).
Total citations
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Scholar articles
U Kumar, A Dasgupta, C Mukhopadhyay, NV Joshi… - International Journal of Research and Reviews in …, 2011