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Title Shoreline Mapping with Integrated HSI-DEM using Active Contour Method
URL
Publication Date
Degree PhD
Discipline/Department Geodetic Science and Surveying
Degree Level doctoral
University/Publisher The Ohio State University
Abstract Shoreline mapping has been a critical task for federal/state agencies and coastal communities. It supports important applications such as nautical charting, coastal zone management, and legal boundary determination. Current attempts to incorporate data from hyperspectral imagery to increase the efficiency and efficacy of shoreline mapping have been limited due to the complexity in processing its data as well as its inferior spatial resolution when compared to multispectral imagery or to sensors such as LiDAR. As advancements in remote-sensing technologies increase sensor capabilities, the ability to exploit the spectral formation carried in hyperspectral images becomes more imperative. This work employs a new approach to extracting shorelines from AVIRIS hyperspectral images by combination with a LiDAR-based DEM using a multiphase active contour segmentation technique. Several techniques, such as study of object spectra and knowledge-based segmentation for initial contour generation, have been employed in order to achieve a sub-pixel level of accuracy and maintain low computational expenses. Introducing a DEM into hyperspectral image segmentation proves to be a useful tool to eliminate misclassifications and improve shoreline positional accuracy. Experimental results show that mapping shorelines from hyperspectral imagery and a DEM can be a promising approach as many further applications can be developed to exploit the rich information found in hyperspectral imagery.
Subjects/Keywords Geographic Information Science; Remote Sensing; shoreline mapping; hyperspectral imagery; data integration; HSI; DEM
Contributors Yilmaz, Alper (Advisor)
Language en
Rights unrestricted ; This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center. [Always confirm rights and permissions with the source record.]
Country of Publication us
Format application/pdf
Record ID oai:etd.ohiolink.edu:osu1406147249
Repository ohiolink
Date Indexed 2020-10-19
Grantor The Ohio State University

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…Introduction 1.1 Introduction to shoreline mapping Shoreline mapping has long been one of important tasks for coastal communities and for maritime nations. It assists in coastal science studies, coastal zone management programs and legal boundaries…

…classification. Recent attempts to incorporate data from hyperspectral imagery to shoreline mapping have been limited due to the complexity in data processing as well as its inferior spatial resolution when compared to other sensors such as multispectral imagery…

…study of object spectra for initial contour generation, have also been employed in the approach to achieve a sub-pixel level of accuracy of shoreline extraction and to maintain low computational expenses. 1.2 Recent approaches to shoreline mapping

…Recent approaches to shoreline mapping may be categorized into model-based approach and image-based approach. A major difference between image-based and model-based shorelines is that the image-based method extracts physical shorelines as they appear on…

mapping by manually delineated land-water line on aerial images has been a standard method for U.S. coastal surveys since 1927. This manual approach to shoreline mapping is time-consuming and labor-intensive. Therefore, recent studies on image-based…

shoreline mapping have been focusing on automated shoreline extraction methods. One of major difficulties with the automated and semi-automated approaches to the image-based shoreline mapping is developing a robust algorithm to accurately detect shoreline

…less than a pixel. Synthetic Aperture Radar (SAR) is also a powerful imaging technology that has been widely utilized in shoreline mapping due to its ability to penetrate clouds and to acquire data without relying on sunlight. Moreover, high…

…contrast from differences in backscatters between land and water areas greatly facilitates shoreline mapping (Horritt, 2003). Although 1-band intensity SAR images provide flexibility for automated extraction, handling noise has became a main…

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