A Recurrent Neural Network (RNN) based approach for reliably classifying land usage from satellite imagery

Abstract

An approach for simplifying the process of Neural Network model creation in the domain of land usage classification is presented in this work. The proposed method is a complete pipeline for cleaning the data using minimal supervision and subsequently creating a crop specific pixel level temporal model. A first step ...