Texture analysis of high resolution panchromatic imagery for terrain classification
Authors
Humphrey, Matthew Donald
Subjects
Remote sensing
Multispectral
Ikonos
Texture filters
Scene classification
Imagery interpretation
Multispectral
Ikonos
Texture filters
Scene classification
Imagery interpretation
Advisors
Olsen, Richard C.
Date of Issue
2003-06
Date
June 2003
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Terrain classification is studied here using the tool of texture analysis of high-spatial resolution panchromatic imagery. This study analyzes the impact and effectiveness of texture analysis on terrain classification within the Elkhorn Slough Estuary and surrounding farmlands within the central California coastal region. Ikonos panchromatic (1 meter) and multispectral (4 meter) imagery data are examined to determine the impact of adding texture analysis to the standard MSI classification approaches. Spectral Angle Mapper and Maximum Likelihood classifiers are used. Overall accuracy rates increased with the addition of the texture processing. The classification accuracy rate rose from 81.0% for the MSI data to 83.9% when the additional texture measures were added. Modest accuracy (55%) was obtained from texture analysis alone. The addition of textural data also enhanced the classifier's ability to discriminate between several different woodland classes contained within the image.
Type
Thesis
Description
Series/Report No
Department
Physics
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
xxii, 131 p. : ill. (some col.)
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.