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Geospatial Non-Local Mean Filter (geoNLMF)

Saif Aati : [email protected]

Saif Aati : [email protected]

Overview

This tool is a modified implementation of the Non-Local Means algorithm used for image denosing. This algorithm has demonstrated an ability to preserve fine details while reducing additive white Gaussian noise. The implementation provided here extends the method to filter and denoise geospatial displacement maps derived using image correlation technique. The proposed package is a modified version of the algorithm proposed in [1] and an open-source version of the implementation in[2].

Installation

To install geoNLMF from source:

1- Install geoRoutines package.
2- Set and activate geoCosiCorr3D environment.
3- git clone geoNLMF package.
4- Install geoNLMF:

pip install .

5- Create geoNLMF shared library:

In addition, of previously named tools, people willing to compile binaries from the source code will need to install the cmake program.

Compiling process for Linux / MacOS X:

  • enter 'geoNLMF/lib' directory : cd geoNLMF
  • create a directory for the build's intermediate files, then enter it : mkdir build & cd build
  • generate makefiles using cmake : cmake ../
  • process compilation : make

Core requirements

Python 3 and C++>11.

The package is tested on 3.6+ and C++11.

geoRoutines, GDAL, numpy , scipy, matplotlib.

Sample output:

ROI: Madoi earthquake

Application of geoNLMF on the Madoi east-west earthquake displacement map: patchSize=7, searchSize=41, h=1.5. The displacement was generated by correlating the Sentinel-2 data before and after the event using the geoCosiCorr3D correlation engine.

Example1

ROI: Ridgecrest

Application of geoNLMF on the Ridgecrest East/West earthquake displacement map: patchSize=7, searchSize=41, h=1.5. The displacement was generated by correlating the PlanetScope (DOVE-C) data before and after the event using the geoCosiCorr3D correlation engine. Example1

Application of geoNLMF on the Ridgecrest East/West earthquake displacement map: patchSize=7, searchSize=41, h=1.5. The displacement was generated by correlating the PlanetScope (DOVE-R) data before and after the event using the geoCosiCorr3D correlation engine.

Example1

  • Extracted profiles before and after applying the geoNLMF

Profile

  • Displacement and uncertainty of the offset before the goeNLMF

OffsetBefore

  • Displacement and uncertainty of the offset after the goeNLMF

OffsetAfter

Citation

If you are using this package for academic research or publications we ask that you please cite as:

[1] Aati, S., Milliner, C., Avouac, J.-P., Under review. A new method for 2-D and 3-D precise measurements of ground deformation from optimized registration and correlation of optical images and ICA-based filtering of image geometry artifacts. Remote Sensing of Environment.

References:

[2] A. Buades, B. Coll and J. -. Morel, "A non-local algorithm for image denoising," 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, pp. 60-65 vol. 2, doi: 10.1109/CVPR.2005.38.

[3] S. Leprince, S. Barbot, F. Ayoub and J. Avouac, "Automatic and Precise Orthorectification, Coregistration, and Subpixel Correlation of Satellite Images, Application to Ground Deformation Measurements," in IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1529-1558, June 2007, doi: 10.1109/TGRS.2006.888937.