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Home / PG-STEAMER
PG-STEAMER 4.0 RTP
PG-STEAMER is a professional environment for the processing, analysis, visualization, and documentation of remotely sensed (RS) data. Among its features are a very easy to use interface, an intuitive workflow structure and state-of-the-art memory efficiency. Real Time Processing (RTP) is a fantastic new feature available with the release of PG-STEAMER 4.0 RTP. With the new XDM data format, the application structure of PG-STEAMER has been completely rebuilt to provide more powerful processing capabilities to users. At the same time, the user interface was redesigned resulting in an even easier to use environment than its predecessor. The key feature of PG-STEAMER 4.0 RTP is its real time data processing capabilities which are a unique and very advanced technology for the processing of unlimited sized data in real time.



1. Real Time Processing

    What is RTP?
Real Time Processing (RTP) is a processing system that enables a user to view the product of processing their image data file instantly. It eliminates the pitfalls of the traditional "trial and error" workflow while still delivering accurate results. The problem with a traditional image processing workflow is that it is usually very slow for images with large file sizes. This slow pace can be very tedious for the user. With RTP, you completely avoid traditional image processing workflow steps and simply view the resulting product image instantly.


    Available RTP functions in PG-STEAMER Version 4.0
  • Geometric correction
  • Classification
  • Mosaicking
  • Orthorectification
  • Spatial filtering
  • Band math
  • Pixel editor
  • Radiometric normalization
  • Image sharpening
  • Principal Components Analysis
  • Index transformation
  • Topographic modeling


  • You can also find RTP capabilities in most of the other RS functionalities in PG-STEAMER 4.0 as well.
    Traditional vs. RTP Image Processing Workflow
There are very typical sequences for the processing and analysis of geospatial image data. In order to find the proper input parameters that give a desired result, it is often unavoidable to approach the processing using a traditional "trial and error" workflow. A traditional data processing workflow is often as follows:
  1. Set the input image file to process
  2. Enter input parameters and run process
  3. Analyze the resulting product
  4. If results are unsatisfactory, change input parameters and run process again
  5. Repeat steps 3 and 4 until the processed product is satisfactory
In an effort to increase user efficiency, we've sought to reduce the time spent by users in this "trial and error" processing loop. Pixoneer Geomatics introduces a new high performance software engine capable of real-time image data processing. With this engine the user may now see and analyze the results immediately upon input of the processing parameters. Consequently, the time spent in the trial and error processing loop is significantly reduced. The enhanced sequence is as follows:
  1. Select the input image file
  2. Enter the desired input parameters and view/analyze the processing results in real-time
  3. Run the actual process when the product is satisfactory

    Benefits Of RTP Technology
  • Instant results. The result of processing can be viewed as soon as you enter the processing parameters.
  • Save time. You don't have to test your patience waiting for the results. Simply add your processing parameters and instantly see the results in the display window.
  • Reduce guesswork. Not sure of the exact processing parameters to use? Reduce the trial and error loop with RTP since you'll quickly see the validity of your processing.
  • Processing when you are ready. Once you've played with the parameters and are sure of the resulting image product, only then do you actually process the file.
  • View at any detail level. Using real time processing, there are no restrictions to the display window size. View the results at the detail level you desire.



2. A Single Interface And Workflow For All Functionality
Most functions in the software are now provided through a single, unified interface using the same workflow structure to accomplish your task. The new workflow structure is as follows:
  1. Choose single/multiple input file(s)
  2. Input your processing parameters
  3. Output product(s) in real time
Input and output data sets are almost always viewed in their display windows at any detail level desired. Display navigation functions are all available with zooming, panning, and other general data manipulation such as histogram stretching, color composition, etc.


    Benefits Of A Single Interface And Workflow
    The benefits of a single interface and workflow structure include:

  • Single interface. A single Graphical User Interface (GUI) to access all software functionality allows the user to feel comfortable quickly and not be timid about exploring the application.
  • Single workflow structure. Keeping a similar workflow structure throughout the software allows the user to become more efficient at their processing tasks.
  • Easier to use, easier to comprehend. Less cluttered and more intuitive than ever, the PG-STEAMER interface provides a simplistic yet powerful environment for image processing.
  • Results attained with ease. Users who spend less time learning software, and less time processing data make tangible increases in production and require less money spent in training.


 
3. Freedom From Coordinate Conversion
If you don't know much about geographic coordinate systems, you no longer need to worry. With the enhanced Visual Analyzer module of PG-STEAMER 4.0 RTP, you can browse multiple data sets of different coordinate systems without ever having to convert your data into a single coordinate system.

Also, PG-STEAMER is now smart enough to process multiple data sets in their correct geographic positions based upon the chosen output coordinate system. For example, if you have multiple data sets, all in different coordinate systems, PG-STEAMER can now mosaic these data sets just by opening the data sets and exporting them to a single data file.


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