Proceedings of the 2016 International Conference on Computer and Information Technology Applications 2016
DOI: 10.2991/iccita-16.2016.27
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Study on Rocky Coastline Extraction of High-Spatial-Resolution Remote Sensing Images

Abstract: Because traditional manual visual interpretation was time and labor consuming, automatic method of rocky coastline extraction using high-spatial-resolution remote sensing data was researched. Taking WorldView-2 image as an example, interpreting marks of rocky coastline was established. By applying MNF transformation and shadow removal to the preprocessed image, a threshold segmentation model was built and threshold method was successfully utilized to extract rocky coastlines. Results show that, the proposed me… Show more

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“…The process of coastline transformation into artificial coastline under the influence of human activities is the process of coastline artificialization, and the degree of human activity impact on the coastline can also be described by the coastline artificialization index [42] as follows:…”
Section: Coastline Artificialization Indexmentioning
confidence: 99%
“…The process of coastline transformation into artificial coastline under the influence of human activities is the process of coastline artificialization, and the degree of human activity impact on the coastline can also be described by the coastline artificialization index [42] as follows:…”
Section: Coastline Artificialization Indexmentioning
confidence: 99%
“…Hagenaars et al [23] and Luijendijk et al [24] reported satisfactory coastline detection for a 360-day composite window for sandy coastlines based on validation with in-situ measurements for beaches in the Netherlands, USA and Australia. However, automated detection of coastline dynamics for non-sandy coastlines, such as muddy and rocky coasts, can be complex [24,35]. Therefore, we limited ourselves to coastline detection adjacent to African seaports located on sandy coastlines.…”
Section: Automated Beach Change Detection From Landsat Satellite Imagerymentioning
confidence: 99%