REMOTE SENSING IMAGES CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

The Deep learning plays the vital role in day to day real time applications. Machine Learning helps in various fields, for example, Natural language Processing, Computer Vision, Medical diagnostics and remote sensing images classifications. The Convolutional Neural Net-works algorithms provide the higher exactness, solid capacity to data extraction. Remote satellite image classifications that are used for the examination of ecological and topographical fields are procured through remote sensing methods. The manual classification not suit-able for land field evaluation and definite report plan, .In this paper proposed the deep learning based remote satellite classification. In this system provides higher accuracy compared to the previous system