Shoreline Detection using Optical Remote Sensing: A Review

With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies have been conducted to produce state of the art reviews on shoreline definition and detection. It should be noted that with the development of...

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Published inISPRS international journal of geo-information Vol. 8; no. 2; p. 75
Main Authors Toure, Seynabou, Diop, Oumar, Kpalma, Kidiyo, Maiga, Amadou Seidou
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 05.02.2019
MDPI
Subjects
Automation
Beach erosion
beach monitoring
Climate change
Coastal erosion
coastline
Coasts
Comparative analysis
Continental interfaces, environment
Detection
Environmental Engineering
Environmental Sciences
feature extraction
Geography
Global positioning systems
GPS
Humanities and Social Sciences
image analysis
Image processing
Methods
monitoring
Noise
processing technology
Remote sensing
Satellites
Sciences of the Universe
shoreline
Shorelines
Standard deviation
State-of-the-art reviews
Working conditions
Coastline
Feature extraction
Shoreline
Beach monitoring
Online AccessGet full text
ISSN2220-9964
2220-9964
DOI10.3390/ijgi8020075

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Abstract With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies have been conducted to produce state of the art reviews on shoreline definition and detection. It should be noted that with the development of remote sensing, shoreline detection is mainly achieved by image processing. Thus, it is important to evaluate the different image processing approaches used for shoreline detection. This paper presents a state of the art review on image processing methods used for shoreline detection in remote sensing. It starts with a review of different key concepts that can be used for shoreline detection. Then, the applied fundamental image processing methods are shown before a comparative analysis of these methods. A significant outcome of this study will provide practical insights into shoreline detection.
AbstractList With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies have been conducted to produce state of the art reviews on shoreline definition and detection. It should be noted that with the development of remote sensing, shoreline detection is mainly achieved by image processing. Thus, it is important to evaluate the different image processing approaches used for shoreline detection. This paper presents a state of the art review on image processing methods used for shoreline detection in remote sensing. It starts with a review of different key concepts that can be used for shoreline detection. Then, the applied fundamental image processing methods are shown before a comparative analysis of these methods. A significant outcome of this study will provide practical insights into shoreline detection. © 2019 by the authors.
With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies have been conducted to produce state of the art reviews on shoreline definition and detection. It should be noted that with the development of remote sensing, shoreline detection is mainly achieved by image processing. Thus, it is important to evaluate the different image processing approaches used for shoreline detection. This paper presents a state of the art review on image processing methods used for shoreline detection in remote sensing. It starts with a review of different key concepts that can be used for shoreline detection. Then, the applied fundamental image processing methods are shown before a comparative analysis of these methods. A significant outcome of this study will provide practical insights into shoreline detection.
Author Kpalma, Kidiyo
Toure, Seynabou
Diop, Oumar
Maiga, Amadou Seidou
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  surname: Kpalma
  fullname: Kpalma, Kidiyo
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  givenname: Amadou Seidou
  surname: Maiga
  fullname: Maiga, Amadou Seidou
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Issue 2
Keywords Coastline
Feature extraction
Shoreline
Beach monitoring
Language English
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Snippet With coastal erosion and the increased interest in beach monitoring, there is a greater need for evaluation of the shoreline detection methods. Some studies...
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StartPage 75
SubjectTerms Automation
Beach erosion
beach monitoring
Climate change
Coastal erosion
coastline
Coasts
Comparative analysis
Continental interfaces, environment
Detection
Environmental Engineering
Environmental Sciences
feature extraction
Geography
Global positioning systems
GPS
Humanities and Social Sciences
image analysis
Image processing
Methods
monitoring
Noise
processing technology
Remote sensing
Satellites
Sciences of the Universe
shoreline
Shorelines
Standard deviation
State-of-the-art reviews
Working conditions
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Title Shoreline Detection using Optical Remote Sensing: A Review
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