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Proceedings Paper

Role of texture in interpreting images of forest land
Author(s): Mike L. Hoppus; Don T. Evans
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Paper Abstract

Digitally scanned aerial photographs (1:15840) of 40 forest areas were processed by two texture algorithms, a high pass filter and a diversity filter. The texture indices generated by these algorithms and the textural statistics on the raw data were regressed with forest traits of age, height, crown closure, crown width and trees/acre. Five pixel sizes varying from 100 to 500 pixels per inch were evaluated for their effect on the regression analysis. Correlations were much stronger when variations related to species composition were reduced.

Paper Details

Date Published: 20 December 1993
PDF: 9 pages
Proc. SPIE 2023, Airborne Reconnaissance XVII, (20 December 1993); doi: 10.1117/12.165539
Show Author Affiliations
Mike L. Hoppus, USDA Forest Service (United States)
Don T. Evans, USDA Forest Service (United States)


Published in SPIE Proceedings Vol. 2023:
Airborne Reconnaissance XVII
Paul A. Henkel; Thomas W. Augustyn; Wallace G. Fishell, Editor(s)

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