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dc.contributor.authorCrombie, Michael A.-
dc.contributor.authorRand, Robert S.-
dc.contributor.authorFriend, Nancy J.-
dc.descriptionResearch note-
dc.descriptionAbstract: The practicality of using the Max-Min texture measure as a class signature followed by probabilistic relaxation is tested. The results indicate that a simpler texture signature should be developed and that rules need to be developed to verify classification results and to combine those results with data base entities and with other image functions.-
dc.publisherU.S. Army Engineer Topographic Laboratories.-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesETL ; 0300.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created from scans of the Print Resource.-
dc.subjectConfusion matrices-
dc.subjectMax-min texture-
dc.subjectMaximum likelihood classification-
dc.subjectProbabilistic relaxation-
dc.titleScene classification results using the max-min texture measure-
Appears in Collections:Research Note

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