Search Results for "remote sensing"
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Showing 9 open source projects for "remote sensing"
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Orfeo ToolBox
OTB is an open-source C++ library for remote sensing images processing
The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program. More information is available at www.orfeo-toolbox.org It is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular. -
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UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.
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Wiise reads data from the Wii remote using the wiiuse C API. The libcsv library is integrated with Wiise to allow the user to write to a CSV spreadsheet for analysis of Wiimote data. Data is visualized using GLUT. Software supplied as is.
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NORS is a platform for mobile-centric wireless sensing. Since July 2011, NORS is no longer supported due to the decline of MIDP-enabled smartphones. I've instead ported NORS onto Android as the Android Remote Sensing (AIRS) platform (see market)
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Raster Operations Sequence Engine. Geospatial Raster Processing Template Library. A remote sensing raster processing strategies library. Project Member: Li Fenghua (Ellil) e-Mail: el@librose.org
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Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
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Mseg is a generic region-based multi-scale image segmentation algorithm designed with some optimizations for remote sensing imagery. The algorithm can be used as a low level processing part of an object-oriented image analysis system.
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The VIP Toolbox is a set of libraries and tools to enable researchers to process image data from the VEGETATION and other remote sensing sensors.
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