Texture estimates of operational forestry parameters

Posted on:1999-03-29

Degree:M.Sc

Type:Thesis

University:University of Calgary (Canada)

Candidate:Wiebe, Jonathan Andrew

Full Text:PDF

GTID:2468390014970767

Subject:Engineering

Abstract/Summary:

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The main objective of this research was to investigate the relationship between synthetic aperture radar image texture and operational forestry parameters. Two other related issues were also investigated: determining the benefits of speckle-filtering before measuring the texture and selecting a texture feature (Markov random field texture models or gray level co-occurrence texture statistics) which best characterizes the texture. The results indicate that there exists a relationship between synthetic aperture radar image texture and the operational forestry parameters of rainforest on Vancouver Island. The results also suggest that speckle-filtering before collecting texture features was not beneficial and that Markov random field texture models did not perform better than gray level co-occurrence statistics.

Keywords/Search Tags:

Texture, Operational forestry parameters, Relationship between synthetic aperture radar, Gray level co-occurrence

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