catmou/groundmotionclassifier

A project to differentiate between earthquakes and blasting waves using Machine Learning.

GroundMotionClassifier

A project to differentiate between earthquakes and blasting waves using Support Vector Machines.

Prerequisites:

To run this project, you would need a linux-based operating system (Ubuntu or Fedora would work best).

The code is written in Python 2.7.12+, but any version of Python 2 would work.

You would also need the following installed in your system:

• Scipy
• Numpy
• Matplotlib
• Scikit-Learn
• Peakutils
• Plotly

These can be downloaded using a download manager such as pip.

Install pip:

sudo apt-get install python-pip

Install any of the dependencies with pip. For eg,:

pip install scikit-learn
pip install numpy

Running the code:

The feature vector is stored in store.txt present in isrsvm/PS/Code. To create a new feature vector (while erasing the previous one):

sh run.sh

To test the working of any module, you can simply compile it with Python 2 with the appropriate command-line arguments. Check in the comments in the relevant file to know the command-line arguments. For eg.:

python Seismogram.py Kachchh pitsa001.044
python rsp.py /path/to/PS/Datasets/Surendranagar pitsa001.003 r

To train the classifier and plot the decision boundary along with the scatterplot, compile the classifier file. This however should be done after creating the feature vector:

python classifier.py

Datasets:

The datasets are present in isrsvm/PS/Datasets.

Note: These datasets are owned by the Institute of Seismological Research, Gandhinagar, India.