Paper
26 March 1993 Global reference analysis and visualization environment (GRAVE)
Todd K. Rodgers, Jeffrey A. Cochand, Joseph A. Sivak
Author Affiliations +
Abstract
The Global Reference Analysis and Visualization Environment (GRAVE) is a research prototype multimedia system that manages a diverse variety of data types and presents them to the user in a format that is geographically referenced ton the surface of a globe. When the user interacts with the globe, the system automatically manages the `level-of-detail' issues to support these user actions (allowing flexible functionality without sacrificing speed or information content). To manage the complexity of the presentation of the (visual) information to the user, data instantiations may be represented in an iconified format. When the icons are picked, or selected, the data `reveal' themselves in their `native' format. Object-oriented programming and data type constructs were employed, allowing a single`look and feel' to be presented to the user for the different media types. GRAVE currently supports the following data types: imagery (from various sources of differing resolution, coverage, and projection); elevation data (from DMA and USGS); physical simulation results (atmospherics, geological, hydrologic); video acquisitions; vector data (geographical, political boundaries); and textual reports. GRAVE was developed in the Application Visualization System (AVS) Visual Programming Environment (VPE); as such it is easily modifiable and reconfigurable, supporting the integration of new processing techniques/approaches as they become available or are developed.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Todd K. Rodgers, Jeffrey A. Cochand, and Joseph A. Sivak "Global reference analysis and visualization environment (GRAVE)", Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); https://doi.org/10.1117/12.142670
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KEYWORDS
Visualization

Human-machine interfaces

Video

Prototyping

Image resolution

Computer programming

Information visualization

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