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FSSBP: Fast Spatial–Spectral Back Projection Based on Pan-Sharpening Iterative Optimization

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FSSBP: Fast Spatial-Spectral Back Projection Based on Pan-sharpening Iterative Optimization, 2023.

This repository contains 3 demo programs and the datasets used in the paper.

Usage

  • Please add all subfolders of the source code to the matlab search path and execute the m-file in the root directory for the demo:

    (1) FSSBP_demo.m: Demonstration of $BP^I$, $BP^T$, $SSBP$, $FBP$ and $FSSBP$.

    (2) C_BP_plot_demo.m: Plot $C_{BP}$ values for common sharpening interpolators to verify convergence.

    (3) M_matrix_calculation_demo.m: Demonstration of the BP transformation matrix and its spectral radius calculation.

  • If you want to run the code with other data, please refer to FSSBP_demo.m and call init_BP_options, generateDefaultSensorInf, BP_Wrapper functions as needed.

Other Notes

  • The data and some third-party tools or functions contained in the code package should be copyrighted to the corresponding authors and organizations.

  • If this code is helpful to your work, please cite our paper: https://doi.org/10.3390/rs15184543.

  • For questions, please contact: blueuranus@qq.com.

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