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Title: Texture analysis and cartographic feature extraction
Authors: Rand, Robert S.
Keywords: Ad-hoc image descriptor
Bayes Classifier
Bhattacharyya Distance Clustering
Digital Image Analysis Laboratory (DIAL)
Feature extraction
Interactive processing
Laws texture measure
Principal components
Raster processing
Publisher: U.S. Army Engineer Topographic Laboratories.
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0370.
Description: Research note
Abstract: Investigations into using various image descriptors as well as developing interactive feature extraction software on the Digital Image Analysis Laboratory (DIAL) have culminated in a revised procedure to test statistical classification methods. An interactive experiment using this procedure was performed and showed that of the image descriptors tested, the most significant was a two component vector derived from an average and a standard deviation measure of gray shades. The texture measures failed to deliver any increase in performance for the classifier. In general this report shows that statistical classification methods are insufficient by themselves to deliver the performance needed in a semi-automated cartographic feature extraction system.
Rights: Approved for public release; distribution is unlimited.
Appears in Collections:Research Note

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