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lulc-classification

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rohitgandikota / Land-Use-Land-Cover-Classification-of-Satellite-Images-using-Deep-Learning

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This work discusses how high resolution satellite images are classified into various classes like cloud, vegetation, water and miscellaneous, using feed forward neural network. Open source python libraries like GDAL and keras were used in this work. This work is generic and can be used for satellite images of any resolution, but with MX band sen…

deep-learning remote-sensing gan satellite-imagery lulc-classification
  • Updated Nov 9, 2019
  • Python

SubhangiSati / Land-Use-Land-Cover-Classification

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This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of land based on satellite or aerial images.

machine-learning deep-learning tensorflow optimizer python3 artificial-intelligence supervised-learning rnn adagrad adam-optimizer cnn-classification sgd-optimizer nadam lulc-classification rmsprop-optimizer
  • Updated Jun 28, 2024
  • Python

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