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Full-Text Articles in Physical Sciences and Mathematics
Guidance In Feature Extraction To Resolve Uncertainty, Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Matthew Best
Guidance In Feature Extraction To Resolve Uncertainty, Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Matthew Best
Computer Science Faculty Scholarship
Automated Feature Extraction (AFE) plays a critical role in image understanding. Often the imagery analysts extract features better than AFE algorithms do, because analysts use additional information. The extraction and processing of this information can be more complex than the original AFE task, and that leads to the “complexity trap”. This can happen when the shadow from the buildings guides the extraction of buildings and roads. This work proposes an AFE algorithm to extract roads and trails by using the GMTI/GPS tracking information and older inaccurate maps of roads and trails as AFE guides.
The Elwha River Restoration: Landscape Change, Salmon, And Sense Of Place, Kelseyanne Johnson
The Elwha River Restoration: Landscape Change, Salmon, And Sense Of Place, Kelseyanne Johnson
All Master's Theses
Removal of the Elwha River dams to restore the ecosystem and salmon fisheries is the largest project of its kind in the history of the United States. Spanning decades and affecting generations, this project has changed and will continue to change the landscape. This research examined the influence of the anticipated return of salmon on 18 key stakeholders' sense of place of the Elwha River. For almost all stakeholders, changes to the Elwha landscape are welcomed as they expect that salmon will restore the ecosystem to its natural state. Narrative data revealed dominant themes in participants' sense of place expressed …