IMAGE FUSION ALGORITHM FOR FUSION OF PANCHROMATIC AND MULTISPECTRAL IMAGES FOR HIGH SPATIAL INFORMATION WHILE PRESERVING SPECTRAL INFORMATION CONTENT

Autor:	Shashidhar Sonnad, S, Lalitha Y, Jyothi H
Rok vydání:	2017
Předmět:	Hybrid Spatial Spectral Multispectral Optimum Filter & Weight ComputingMethodologies_PATTERNRECOGNITION Computer Science::Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Physics::Atmospheric and Oceanic Physics
DOI:	10.5281/zenodo.1066488
Popis:	In this paper image fusion algorithm for enhancing spatial quality of the multispectral image while maintaining the spectral quality of the multispectral image is proposed. The fusion algorithm is developed based on high frequency components injection to the multispectral image to improve the spatial quality of the fused image. High frequency component is generated using the Laplacian filter. Construct the saliency map and initial weight map. Finally optimum weight parameter is calculated for each band using the guided filter, using this optimum weight parameter panchromatic and multispectral images are fused to enhance the spatial quality of the multispectral image. {"references":["1.\tHamid Raza.; Shahadoosti; Hassan Ghassemina, \"Fusion of MS and PAN Images Preserving Spectral Quality,\" IEEE Transactions on Geoscience and Remote Sensing Letters, vol: 12, issue: 3, pp: 611-615, March 2015. 2.\tHamid Raza.; Shahadoosti; Hassan Ghassemina, \"Fusion of MS and PAN Images Preserving Spectral Quality,\" IEEE Transactions on Geoscience and Remote Sensing Letters, vol: 12, issue: 3, pp: 611-615, March 2015. 3.\tB. Aiazzi, S.Baronti, M Selva,\" Improving Component Substitution Pansharpening through Multivariate Regression of MS+PANdata\", IEEE transaction. Giosci, Remote Sens, Vol-52, No.1, pp.651-663, Jan2014. 4.\tW.Duo, Y.Chen, X.Li and D.Z. Sui \"A general framework for component substitution image fusion: An implementation using fast image fusion methods\", Comput.Geosci.Vol-33, No.2, P.P 219-228, Feb-2007. 5.\tShutao Li, Xudong Kang and Jianwen Hu, \"Image fusion with guided filtering\", IEEE transaction on Image processing, Vol: 22, Issue: 7, Pages: 2864-2875, Jan 2013. 6.\tS. Rahmani, M. Strait, D. Merkurjev, M. Moeller, and T. Wittman, \"An adaptive IHS pan-sharpening method,\" IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 746–750, Oct. 2010. 7.\tJaewan Choi, Junho Yemo, Anjin Chang, Younggi Byan and Yongil Kim,\" Hybrid Pansharpening Algorithm for High Spatial Resolution Satellite Imagenary to Improve Spatial Quality, IEEE Geoscience and Remote Sensing Letters, Vol-10, No.3,May 2013. 8.\tB. Aiazzi, S. Baronti, F. Lotti, and M. Selva, \"A comparison between global and context-adaptive pan-sharpening of multispectral images,\" IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 302–306, Apr. 2009. 9.\tAshish D.Dhore, Dr.Veena C.S ,\" Evaluation of Various Pansharpening methods Using Quality Metrics\", 2nd Internation conference on Electronics & Communication Systems, Pp-871-877, 2015. 10.\tMuhmmad Murtaza Khan, Jocelyn, Chanussot, Bensaid Siour and Julien Osman, \" Using QNR index as Decision Criteria for Improving Fusion Quality, 2nd International Conference on Advances in Space Techniquies,29-30 Nov,2008. 11.\tJING Tao.;MA Hao.; ZHU Homgchun, \"The Study of Remote Sensing Image Fusion based on GIHS Transform,\" Image and Signal Processing, 2009, IEEE Second International Congress on image and signal processing, pp:1-4, Oct 17-19,2009."]}
Databáze:	OpenAIRE
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