توضیحات
ABSTRACT
In order to develop quantitative seafloor sediment classification techniques it is important to acknowledge that by nature the boundaries between soft sediments are characterized by transition zones and therefore are indeterminate and gradual.A fuzzy clustering method,fuzzy c-means (FCM),was used to identify these transition zones within a subset of the data used to generate the Australian Seascapes classification model.The overlapping classes and gradual boundaries resulting from the fuzzy c-means algorithm provided estimates of sediment boundaries that are a closer model of reality than sharp boundaries.
INTRODUCTION
Seafloor classification and habitat mapping have become the topic of many recent interdisciplinary studies (e.g. Greene et al.,1995;Sotheran et al.,1997; Pinn et al., 1998;Todd et al., 1999; Kostylev et al.,2001;Goff et al., 2004). Much of this research has focused on new morphological detail and sediment textural attributes to identify seafloor benthos and bio-physical interactions (e.g. Kostylev et al.,2003).Such an approach requires the application of reliable and accurate seafloor descriptors in combination with a robust means to statistically assess descriptor associations. Historically,seafloor mapping was primarily concerned with the identification,spatial extent and geometric relationship of geological units(Orpin and Kostylev,2006).
Year: 2009
Publisher: Marine Geology
By: V. Lucieer , A. Lucieer
File information: English Language / 12 Page / Size :3.95 MB
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سال: 2009
ناشر: Marine Geology
کاری از: V. Lucieer , A. Lucieer
اطلاعات فایل: زبان انگلیسی/ 12 صفحه/ حجم 3.95 کیلوبایت
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