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Parallelepiped Classifier for Satellite Image Classification

Abhishek Potnis

Abhishek Potnis

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This a satellite image classifier using a Supervised Machine Learning approach. Parallelepiped classification uses a simple decision rule to classify multispectral data. ...learn more

Project status: Published/In Market

Artificial Intelligence

Code Samples [1]

Overview / Usage

Parallelepiped Classifier uses a Supervised Classification approach. So it requires training data to be able to classify pixels into classes. This WebApp is written in PHP and Java. It makes use of HTML5 Canvas to interactively help the user create the Training Data File(Sample Data File).

Methodology / Approach

PHP is used to upload the input image, create the Training Data File(Sample Data File) and finally render the classified image. A java program(used as jar) is used to create a Signature File from the Training Data File and process the image using that file to generate the classified output image.

Technologies Used

Java, PHP, HTML5, CSS3, javaScript

Repository

https://github.com/abhishekvp/parallelepipedClassifier

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