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RSUnmixing

A CLI version of the image fusion algoritm in Xu et al., 2015 (Spatial and Temporal Image Fusion via Regularized Spatial Unmixing, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 12, NO. 6, JUNE 2015) implemented on Matlab

Binaries are available for Windows x64 using Matlab R2015a / MRC-8.5 version

Matlab code developed and provided by Yong Xu and Yuyue Xu
Adaptations to Matlab CLI by João Gonçalves

Abstract

A novel spatial and temporal data fusion model based on regularized spatial unmixing was developed to generate Landsat-like synthetic data with the fine spatial resolution of Landsat Enhanced Thematic Mapper Plus (Landsat ETM+) data and the high temporal resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) data. The proposed approach is based on the conventional spatial unmixing technique, but modified to include prior class spectra, which are estimated from pairs of MODIS and Landsat data using the spatial and temporal adaptive reflectance data fusion model. The method requires the optimization of the following three parameters: the number of classes of Landsat data, the neighborhood size of the MODIS data for spatial unmixing, and a regularization parameter added to the cost function to reduce unmixing error. Indexes of relative dimensionless global error in synthesis (ERGAS) were used to determine the best combination of the three parameters by evaluating the quality of the fused result at both Landsat and MODIS spatial resolutions. The experimental results with observed satellite data showed that the proposed approach performs better than conventional unmixing-based fusion approaches with the same parameters.

Parameters

(use these in order)

  1. MOD_rst: Path to MODIS raster with the same spatial resolution of Landsat
  2. MOD_spres: MODIS original spatial resolution (e.g, 250, 500 or 1000)
  3. LT_rst: Path to the original Landsat raster
  4. LT_rst_pred: Path to the STARFM predicted Landsat raster
  5. LT_rst_class: Path to the classified Landsat raster
  6. LT_ncols: number of columns in the Landsat raster
  7. LT_nrows: number of rows in the Landsat raster
  8. LT_spres: spatial resolution of Landsat data (tipically: 30)
  9. nb: number of bands in MODIS and Landsat data
  10. mws: moving windows size (final size is set to 2*mws + 1)
  11. LT_pred_unmix: Path to the output predicted raster (note: this data file has no header!!)

Example:
RSUnmixing C:/data/modis2000306 1000 C:/data/tm2000306 C:/data/pre_tm2000306 C:/data/tm2000306_30class 1200 1200 30 3 5 C:/data/tm2000306_pred_unmix