Geographical coastline detection through image processing techniques
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Date
2017
Department
Mathematics and Computer Science
Program
Computer Science
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Abstract
This paper focuses on the steps taken and results obtained when trying to manipulate and process coastline images. Included is information about applying edge-detection algorithms to obtain the coastal boundary line that forms between the water and land at coastlines, reading in this edge to create a vector representation of the coastline, and performing analysis do determine how this representation changes over time to predict changes in coastlines. Different forms of optimization in terms of speed as well as accuracy are tested and evaluated in order to make results as precise as possible. The challenges that have occurred during research are discussed alongside the successes in order to show the design process followed.