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Remote Sensing Classification Under Deep Learning: A Review

  • Manoj Kumar SharmaEmail author
  • Harshit Verma
Conference paper
  • 232 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

The best machine learning strategy is deep neural learning. Regardless of information wellsprings, current classification and remote sensing strategies are quickly presented. At that point, basic databases and run deep neural learning models are introduced, with deep belief network, convolutional neural network and stacked autoencoder. Besides, ideal design of such strategies for deep neural learning is abridged by Kappa coefficient and general exactness At long last, the present work along with future scope of satellite sensing deep neural learning classification has been provided. The present work explores the deep neural learning, which is guaranteed to be an overwhelming strategy for sensing classification of remote sensing.

Keywords

Sensing classification Remote sensing CNN Deep neural learning Kappa coefficient 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer and Communication Engineering, School of Computing & ITManipal University JaipurJaipurIndia

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