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High Spatial and Spectral Details Retention Fusion and Evaluation

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Abstract

To retain spatial and spectral details simultaneously from source images is a trade-off in image sharpening. Fourier and wavelet transform based image fusion methods retain better spectral quality but represent less spatial details as in source images. Wavelets and Laplacian pyramid perform well only at linear discontinuities because they do not consider the geometric properties of structures and do not exploit the regularity of edges. In this paper we proposed a novel image fusion method to preserve high spatial and spectral details based on the curvelet transforms. Curvelet transforms overcome the difficulty to identify the critical transient features. To retain high spatial details, finer and detailed scale coefficients of High Resolution (HR) PAN image are substituted in Low Resolution (LR) multispectral (MS) bands in the Fast Discrete Curvelet Transforms (FDCT) domain. Spectral details in the fused image are preserved by following the shape of the spectral reflectance curve of each pixel in the resample MS image. Spectral profile of the each pixel in spatially fused image is parallel to the spectral profile of the corresponding pixel in the resampled MS image. For experimental study of this method, Indian Remote Sensing (IRS) Resourcesat-1 LISS IV images are used as LR MS image and Cartosat-1 images are used as HR PAN Image. Proposed fusion method is evaluated against state of the art fusion techniques and quality measures.

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Acknowledgments

This research was supported under Technology Development Project (TDP) at National Remote Sensing Centre, ISRO, Department of Space, Government of India.

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Authors and Affiliations

  1. Data & Products Quality Evaluation Division, Geophysical & Special Products Group, SDAPSA, National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, 500037, India

    C. V. Rao

  2. SRF, Geophysical & Special Products Group, SDAPSA, National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, 500037, India

    J. Malleswara Rao

  3. Geophysical & Special Products Group, SDAPSA, National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, 500037, India

    A. Senthil Kumar

  4. SDAPSA, National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India

    D. S. Jain

  5. National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India

    V. K. Dadhwal

Authors
  1. C. V. Rao
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  2. J. Malleswara Rao
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  3. A. Senthil Kumar
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  4. D. S. Jain
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  5. V. K. Dadhwal
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Correspondence to C. V. Rao.

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Rao, C.V., Rao, J.M., Kumar, A.S. et al. High Spatial and Spectral Details Retention Fusion and Evaluation. J Indian Soc Remote Sens 44, 167–175 (2016). https://doi.org/10.1007/s12524-015-0467-z

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  • DOI: https://doi.org/10.1007/s12524-015-0467-z

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