Classification of Satellite Images on HDFS Using Deep Neural Networks

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 870)


Nowadays, the artificial intelligence plays an important role in technological aspects. AI uses big data for performing its job, therefore it is necessary to store, analyze, and control the big data. AI needs to perform works like face detection and image classification. The classification process categorizes small pixels that are present inside a digital image into several different classes. Generally for classification, multispectral data were used by obtaining the spectral pattern present between image data and the numerical basis for this categorization are pixels. We propose an open-source Hadoop image classification platform. The goal of this research is to make a product that will, in future, be used to make image classification and processing tool on extensive number of images which will empower scholars and scientists to create applications.


Classification Image Neural network Computer science Hadoop 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Shri Vaishnav Institute of Technology and ScienceIndoreIndia

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