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Open-source toolbox for MATLAB environment for unsupervised change detection in remote sensing images, with pre-/post-processing strategies for a better radiometric normalization and to handle large remote sensing data.

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Matlab toolbox change detection. The use of the tool is regulated by GNU GPL licence. See documentation in “GNU_GPL_Licence.


HOW TO CITE:

If the tool or any its part has been used, the following reference must be cited:

Falco, Nicola, Prashanth Reddy Marpu, and Jon Atli Benediktsson. 2016. “A Toolbox for Unsupervised Change Detection Analysis".
International Journal of Remote Sensing 37 (7): 1505–1526.https://doi.org/10.1080/01431161.2016.1154226.


AUTHORS:

Nicola Falco (nicolafalco@ieee.org)
Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, 94720 Berkeley, California. USA.

Prashanth R. Marpu (pmarpu@masdar.ac.ae)
Earth Observation and Hydro-Climatology Laboratory, Masdar Institute, Masdar City, 54224 Abu Dhabi, UAE.

Jon A. Benediktsson (benedikt@hi.is)
Faculty of Electrical and Computer Engineering, University of Iceland, 101 Reykjavik, Iceland.


DATA INPUT:

  • input: two coregistred multitemporal multispectral data. The images need to be ENVI RAW format without extension with a *.hdr file
  • output: intensity image representing the probability of change obtained by either ITPCA or IRMAD technique.

MAIN FUNCTIONS:

  • CD_IRMAD_ITPCA
  • ICM/ ICM.m ICM/ICMLine.m
  • IRMAD/IRMAD.m IRMAD/IRMADLine.m
  • ITPCA/ITPCA.m ITPCA/ITPCALine.m
  • WRM/WRM.m WRM/WRMLine.m
  • Function required but not necessarily developed by the authors are in the folder “dependences”

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Open-source toolbox for MATLAB environment for unsupervised change detection in remote sensing images, with pre-/post-processing strategies for a better radiometric normalization and to handle large remote sensing data.

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