Projects tagged ‘processing’ and ‘swe’

Space Time Toolkit is Java based software that was initiated by the University of Alabama in Huntsville (UAH), mainly for demonstrating sensor web related technologies via an interactive user ... [More] interface allowing for 4D visualization and drag and drop processing of data. It is also a visualization and processing toolkit that can be used without the GUI components. The main focus is the support of interoperable data exchange and web data access standards developed by the Open Geospatial Consortium. A secondary but also important aspect is the support of real time data streams and real time processing (e.g. geolocation, classification), so the rendering engine is optimized for that. The software is still mainly maintained by the VAST Team at the University of Alabama in Huntsville (UAH), but have more contributors such as Sensia Software LLC and Spot Image. DependenciesThis project relies on code from several other open source projects also hosted on Google Code: The SWE Common Data Model Framework The OGC Service Framework The SensorML Data Processing Framework The SensorML Process Library. All external libraries required by these frameworks are usually necessary to compile and run Space Time Toolkit. Please go to the page of these projects to see what you need. Additionally, these other libraries are also needed in order to compile the code published on SVN or in the download section: Eclipse Ganymede Platform 3.4 - Space Time Toolkit is an Eclipse plugin JOGL 1.1.1 - Java OpenGL bindings (jar and native libraries for your platform) from https://jogl.dev.java.net/ JAI 1.1.3 - Java Advanced Imaging from https://jai.dev.java.net JFreeChart 1.0.12 - Java Charting library from http://www.jfree.org/jfreechart/ (need JFreeChart and JCommon libs) Berkeley DB Java Edition 3.3 from Oracle [Less]

This project aims at building a JAVA API and implementation of a SensorML based Processing Engine. The engine itself is decoupled from SensorML but the project also provides serializers and ... [More] deserializers to instantiate a Process Chain from a SensorML file or save a process chain in SensorML format. The processing engine implementation is particularly oriented toward real time stream processing and distributed pipelined processing. The development of executable process model profiles is supported by the development project at SensorML Profile Development. The project was initiated by the VAST Team at the University of Alabama in Huntsville (UAH) and is now also maintained by Sensia Software and Botts Innovative Research, Inc.. This project relies on the SWE Common Data Model Framework, also on Google Code. [Less]