Abstract

An automated segmentation algorithm for the isolation of pseudoinvariant features was developed. This algorithm utilizes rate-of-change information from the thresholding process previously associated with the pseudoinvariant feature normalization technique. This algorithm was combined with the normalization technique and applied to the six reflective bands of the Landsat Thematic Mapper for both urban and rural imagery. The segmentation algorithm and normalization technique were also applied to color infrared high resolution U2 imagery. The accuracy and precision of the normalization results were evaluated. The technique consistently produced normalization results with errors of approximately one or two reflectance units for both the rural and urban Thematic Mapper imagery as well as the visible bands of high resolution airphoto imagery. The segmentation algorithm shows great potential for the removal of human intervention in the pseudoinvariant feature temporal image normalization process.

Library of Congress Subject Headings

Remote sensing--Equipment and supplies; Algorithms; Landsat satellites; Cities and towns--Remote sensing

Publication Date

5-1-1987

Document Type

Thesis

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)

Advisor

Schott, John

Advisor/Committee Member

Easton, Roger

Advisor/Committee Member

Engeldrum, Peter

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: G70.4.S23 1987

Campus

RIT – Main Campus

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