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Change Detection with Multitemporal Polarimetric SAR Imagery

This repo contains the source files for the Docker image mort/sardocker, which wraps command line versions of several polarimetric SAR Python scripts, most of which are described the textbook <a href="http://www.amazon.com/Analysis-Classification-Change-Detection-Sensing/dp/1466570377/ref=dp_ob_title_bk">Canty (2014). Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Ed., CRC Press 2014</a>. In addition new sequential change detection scripts implement the algorthms described in <a href = "http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6825"> Conradsen et al. (2016). Determining the points of change in time series of polarimetric SAR data. IEEE TGRS 54 (5) 3007-3024.</a>

Installation

1. <a href="https://docs.docker.com/">Install Docker</a>
2. In a terminal, run the command sudo docker run -d -p 433:8888 --name=sar -v your_image_directory:/sar/imagery mort/sardocker
   where your_image_directory is the path to your SAR data.
3. Point your browser to
   localhost:433
4. If asked for a password, enter 'mort'
5. Click on the <a href="http://mortcanty.github.io/src/tutorialsar.html"> tutorial</a>, or open a new notebook with New/Python 2.