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README.md

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Capstone 3

Exploring aerial imagery for classifying land cover and usage

Datasets and description: https://csc.lsu.edu/~saikat/deepsat/

The labelled datasets consist of 28x28x4 images, with each image classified into land cover classes. Images were extracted from larger aerial image tiles (~6000 x ~7000 pixels), and selected to represent balanced and non-overlapping training sets.

Development of a process for classifying land cover from this training set will be further developed and adapted for use on satellite imagery.

Final presentation in PDF form is here

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