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Home / programming language / Online Java Projects / A framework for processing large scale geospatial and remote sensing data in MapReduce environment
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A framework for processing large scale geospatial and remote sensing data in MapReduce environment

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SKU: PROJ7594 Categories: 2017 Projects, Big Data Projects, Final Year Projects, Online Java Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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A framework for processing large scale geospatial and remote sensing data in MapReduce environment

Abstract—In recent years distributed data processing has reached many areas of computer science including geographic and remote sensing information systems. With the continuing increase of data, existing algorithms and data management need to be moved to new architecture, which may require a great deal of effort. This paper describes a geospatial data processing framework designed to enable the management and processing of spatial and remote sensing data in distributed environment. The framework is based on the mainstream MapReduce paradigm, and its open-source implementation, the Apache Hadoop library. The primary design goals of this framework are extensibility and adaptability, to enable previously implemented algorithms and existing toolkits to be easily adapted to distributed execution without major effort. The possibilities of the framework are demonstrated on remote sensing image processing operations in comparison with existing solutions in the Hadoop environment. Results show that this toolkit provides amuch broader possibility to advance geospatial data processing than the currently available solutions< final year projects >

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