Convolutional Neural Network (CNN) Classifiers Used in Land Use/Land Cover Monitoring and Classification: A Review

Land Use/Land Cover Analysis is conducted to perform continuous monitoring and assessment of land resources in order to manage the Land Usage and Land Utilization and to take the right decisions to protect the environment. This article discusses various techniques/algorithms used to build robust models to perform Land Use/Land Cover Classification. The article includes various architecture models including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Residual Networks (RN), etc. It also includes various Accuracy Measurement Metrics, proposed models, and corresponding issues.