Many government and public organizations have spent billions of dollars over the past 20 years building geospatial datasets. The cost of updating these datasets is currently equal to the cost of creating them.
Lawrie Jordan of ESRI moderated an industry keynote given by Roger Mitchell, vice president of program development, MDA federal Inc. formerly Earth Satellite Corp. (EarthSat), which focused on a more effective way of doing change detection that would save government and other entities money. The current method of doing geospatial change detection involves reviewing aerial imagery to determine if a feature has changed, a laborious process, according to Mitchell. The current use of multi-spectral image differencing has the potential for many false indicators.
New change criteria involves the following:
-reliable with an absolute minimum of false indicators.
Developed by the MDA based on patented cross correlation analysis technology (CCA), the new process uses multiple data to filter out false indicators.
The MDA will disclose the algorithm to the U.S. Government. The solution is nearly 100% automated. It uses any moderate resolution multi-spectral image data. .
For more information contact Roger.firstname.lastname@example.org