Two critical limitations for hyperspatial imagery are higher imagery variances and large data sizes. Although object-based analyses with a multi-scale framework for diverse object sizes are the solution, more data sources and large amounts of testing at high costs are required. In this study, I used tree density segmentation as the key element of a three-level hierarchical vegetation framework for reducing those costs, and a three-step procedure was used to evaluate its effects.
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- Partial requirement for: M.A., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 30-38)Note typebibliography
- Field of study: Geography