A review on shoreline detection based on satellite imagery

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Sea level rise is one of the main factors that affects the shoreline, which directly will affect its surrounding activities. Thus, it is important to observe the shoreline level, mainly for mitigation purpose. However, manual inspection and field work require extensive amount of effort, time and money. Therefore, satellite imagery has been widely used to observe the shoreline variability so that estimation can calculated based on past data. There are various techniques of shoreline detection which depend on the application. In this paper, some popular methods of shoreline detection were discussed such as pixel swapping, active contour and artificial neural network. The most challenging issue in processing satellite imagery is the computational burden. In a nutshell, shoreline detection technique should be selected based on the required application due to timing constraint.

Original languageEnglish
Pages (from-to)7977-7982
Number of pages6
JournalARPN Journal of Engineering and Applied Sciences
Volume10
Issue number18
Publication statusPublished - 2015

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Satellite imagery
Sea level
Inspection
Pixels
Neural networks
Processing

Keywords

  • Active contour
  • Pixel swapping algorithm
  • Satellite imagery
  • Shoreline detection

ASJC Scopus subject areas

  • Engineering(all)

Cite this

A review on shoreline detection based on satellite imagery. / Ismail, Siti Zaleha; Zulkifley, Mohd Asyraf; Hussain, Aini; Mustafa, Mohd. Marzuki.

In: ARPN Journal of Engineering and Applied Sciences, Vol. 10, No. 18, 2015, p. 7977-7982.

Research output: Contribution to journalArticle

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