Automatic classification of satellite images in the textural domain using semivariograms
AuthorMacDonald, John Alexander
AdvisorCarr, James R.
Geological Sciences & Engineering
StatisticsView Usage Statistics
A new technique for automatic classification of remote sensing image data using semivariograms was developed. Supervised parallelepiped classification methods were used throughout the study.
Online access for this thesis was created in part with support from the Institute of Museum and Library Services (IMLS) administered by the Nevada State Library, Archives and Public Records through the Library Services and Technology Act (LSTA). To obtain a high quality image or document please contact the DeLaMare Library at https://unr.libanswers.com/ or call: 775-784-6945.