How eCognition Server Works

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This slideshow presents an overview of different modes in which Definiens eCognition Server can be used.

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How eCognition Server Works

  1. 1. How eCognition Server Works
  2. 2. Application examples <ul><li>eCognition Server can be used in various ways. Below are examples of typical Server setups. </li></ul><ul><ul><li>Automatic Production Workflows </li></ul></ul><ul><ul><li>Semi Automatic Production Workflows </li></ul></ul><ul><ul><li>Transferable Rule Set Development </li></ul></ul>
  3. 3. Automatic Production Workflows eCognition Developer eCognition Architect File System eCognition Server Automatic Production Workflows In a typical production workflow a rule set developed on a representative area is applied over very large areas. Often an automatic tiling and stitching approach is applied allowing analysis of very large data without cutting subsets. Exported results are automatically named and stored in dedicated locations for easy further processing. The analysis process can be monitored utilizing a convenient HTML based status monitor. Using the eCognition Automation API, such workflows can be easily embedded into existing production environments.
  4. 4. Semi Automatic Production Workflows eCognition Developer eCognition Architect Semi Automatic Production Workflows In a semi automatic workflow, data is usually run in a first pre processing step segmenting and classifying the data. The analyzed workspace is then accessed by users of eCognition Architect for manual editing and/or calibration of further classification steps. In a second processing step, manually edited workspaces are then finalized and results are exported. eCognition Architect eCognition Server File System
  5. 5. Transferable Rule Set Development eCognition Server eCognition Developer Transferable rule set development Besides being applied in production workflows, eCognition ™ Server also offers great increases in productivity for development of transferable rule sets. In this setup eCognition Developer users use eCognition ™ Server to apply rule sets on large scenes or over large areas. This results in quick feedback cycles and consequently speeds up development of transferable rule sets.

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