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ArcGIS Image Server 9.2 introduces significant advancements in raster data management, including the capability for orthorectification directly within ArcMap using Rational Polynomial Coefficients (RPC) and a Digital Elevation Model (DEM). Users can generate hillshades on-the-fly without relying on the Spatial Analyst extension. The software now supports Terrain dataset creation to efficiently manage large surface data using TIN formats stored in Geodatabase datasets. Additionally, improvements enable real-time imagery management, including orthorectification and mosaicking, providing quicker access and integration for data partners.
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9.2 Additions/Changes to Raster Data Management • It is now possible to do orthorectification in ArcMap, image/raster must have RPC (rational polynomial coefficients) and you need a DEM • You can now generate a hillshade on the fly, without the need for the spatial analyst extension (check box in symbology tab) • Creation of Terrain dataset, used to store massive amounts of surface data. • TIN based • Must be stored in a Geodatabase dataset (personal, file, SDE) • 3D analyst is used to create a Terrain • You can generate a DEM from a Terrain and use it to perform different raster analysis functions
Quick Facts on ArcGIS Image Server • Provides fast access to imagery • Sensor to server • Server to screen • Can read variety of different types • Reduces storage, by cutting down on redundancy • Imagery can be resampled on the fly, with Image Server there is no need to store grayscale and color imagery, or varrying levels of compression. • Compression for storage is independent from compression for transmission, client can control compression level to balance performance with image quality • Orthorectification, enhancement, and mosaicking can be performed with Image Server on the fly • Could mean quicker delivery of imagery to data partners • Seamlessly integrate rectified imagery with service once it is available
Viewpoints, potential Oblique Imagery layers with Image Server • Image Server handles overlapping images with what they call viewpoints. • Viewpoints allow different views of the same location when overlapping imagery is present.