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Titlebook: Big Data for Remote Sensing: Visualization, Analysis and Interpretation; Digital Earth and Sm Nilanjan Dey,Chintan Bhatt,Amira S. Ashour Bo

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期刊全稱Big Data for Remote Sensing: Visualization, Analysis and Interpretation
期刊簡稱Digital Earth and Sm
影響因子2023Nilanjan Dey,Chintan Bhatt,Amira S. Ashour
視頻videohttp://file.papertrans.cn/186/185691/185691.mp4
發(fā)行地址Addresses the remote sensing and big data techniques/challenges along with up-to-date related topics.Discusses advanced synthetic aperture radar imaging and feature analysis to detect images of a movi
圖書封面Titlebook: Big Data for Remote Sensing: Visualization, Analysis and Interpretation; Digital Earth and Sm Nilanjan Dey,Chintan Bhatt,Amira S. Ashour Bo
影響因子.This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.?.Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data.The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervis
Pindex Book 2019
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https://doi.org/10.1007/978-3-319-20780-3 state physics, materials science and nano-technology. The fundamental description of such systems is based on atoms or molecules that interact with each other. The physical background is discussed in detail. In particular, it is argued that the characteristic features and properties of such systems
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Nilanjan Dey,Chintan Bhatt,Amira S. AshourAddresses the remote sensing and big data techniques/challenges along with up-to-date related topics.Discusses advanced synthetic aperture radar imaging and feature analysis to detect images of a movi
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Introduction to Fluorescence Sensingnitor a person at home. The information provided by the pathologic profiles detected and clustered thanks to big data algorithms, is exploited to calibrate the surveillance at home, personalize alarms and give adapted preventive and therapeutic education.
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