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Integration of High Spectral and High Spatial Resolution Image Data for Accurate Target Detection

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 775))

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Abstract

This study has attempted to generate a fused image that comprises fine spectral characteristics of hyperspectral data and greater spatial details of multispectral data. N-FINDR has been applied to extract pure endmembers from hyperspectral data. The projected methodology in this study has re-sampledspectral bands of endmembers in the green, red and infra-red regions of hyperspectral data to the respective wavelength regions in multispectral data. The abundance of these endmembers in multispectral image hasbeen estimated through Linear Spectral Unmixing of multispectral data taking the re-sampled endmembers as input. New fused pixels are generated after applying Linear Model on hyperspectral data with the estimated abundances. The fused image contains spatial and spectral details of multispectral and hyperspectral data respectively enabling more accurate target identification. Normalized Cross Correlation of fused image pixels has shown more than 80% correlation with hyperspectral spectra.

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Authors and Affiliations

  1. Department of Information Technology, Government College of Engineering and Ceramic Technology, Kolkata, 700010, India

    Somdatta Chakravortty & Srirupa Das

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  1. Somdatta Chakravortty
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  2. Srirupa Das
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Correspondence to Somdatta Chakravortty .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Chakravortty, S., Das, S. (2017). Integration of High Spectral and High Spatial Resolution Image Data for Accurate Target Detection. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_15

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  • DOI: https://doi.org/10.1007/978-981-10-6427-2_15

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