Satellite Image Classification Project

Project Overview

In this repository, you will build and validate a classification model using satellite image data.

Dataset Description

The dataset provided consists of two .csv files:

• Image Data: Contains an eight-band satellite image data.
• Labels: Contains the corresponding labels.

The dataset includes the following columns:

• x and y: Coordinates of the pixels.
• band1-band8: Brightness values for each band.
• label: Indicates the land cover type for the pixels.

Project Tasks

1. Model Selection and Validation:

   • Choose a classification algorithm to build your model.
   • Test multiple algorithms.
   • Determine which variables to use for splitting the data into training and validation samples.
   • Justify your chosen validation approach.

2. Classification Results:

   • Display the classification results using a confusion matrix and provide relevant accuracy/error metrics.

3. Visualization:

   • Plot the original satellite image
   • Plot predicted satellite image coloured according to specified labels