| 期刊全称 | Big Data for Remote Sensing: Visualization, Analysis and Interpretation | | 期刊简称 | Digital Earth and Sm | | 影响因子2023 | Nilanjan Dey,Chintan Bhatt,Amira S. Ashour | | 视频video | | | 发行地址 | 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 | | 图书封面 |  | | 影响因子 | .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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书目名称Big Data for Remote Sensing: Visualization, Analysis and Interpretation被引频次
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发表于 2025-3-21 16:11:50
