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Big Data and Internet of Things for Analysing and Designing Systems Based on Hyperspectral Images

Big Data and Internet of Things for Analysing and Designing Systems Based on Hyperspectral Images
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Author(s): Peyakunta Bhargavi (Sri Padmavati Mahila Visvavidyalayam, India) and Singaraju Jyothi (Sri Padmavati Mahila Visvavidyalayam, India)
Copyright: 2019
Pages: 21
Source title: Environmental Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7033-2.ch026

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Abstract

The recent development of sensors remote sensing is an important source of information for mapping and natural and man-made land covers. The increasing amounts of available hyperspectral data originates from AVIRIS, HyMap, and Hyperion for a wide range of applications in the data volume, velocity, and variety of data contributed to the term big data. Sensing is enabled by Wireless Sensor Network (WSN) technologies to infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The communication network creates the Internet of Things (IoT) where sensors and actuators blend with the environment around us, and the information is shared across platforms in order to develop a common operating picture (COP). With RFID tags, embedded sensor and actuator nodes, the next revolutionary technology developed transforming the Internet into a fully integrated Future Internet. This chapter describes the use of Big Data and Internet of the Things for analyzing and designing various systems based on hyperspectral images.

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