Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+

Jo Jong-Song; Cha Jong-Hun

doi:doi:10.11648/j.ijaos.20170101.11

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Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+

Jo Jong-Song, Cha Jong-Hun

Published in International Journal of Atmospheric and Oceanic Sciences (Volume 1, Issue 1)

Received: 24 September 2016 Accepted: 14 November 2016 Published: 21 December 2016

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Abstract

Extraction of shoreline incoastal zone is important for coast protection and management. This paper presents extractingthe shoreline with fusion images, which are obtained using various image fusion methods such as IHStransform, Brovey Transform, Multiplicative, Principle Component, Wavelet Resolution Merge. Artificial constructions (e.g. coastalembankments), islands, lakes, tidal mudflats and estuaries have been selected as evaluation objects, shorelines of which are extracted and analyzed. The result indicates that shoreline extraction effect by the Principle Component method is bestamong other methods.

Published in	International Journal of Atmospheric and Oceanic Sciences (Volume 1, Issue 1)
DOI	10.11648/j.ijaos.20170101.11
Page(s)	1-6
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Image Fusion, Shoreline, Landsat ETM+

References

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[2]	Chavez, P. S., Jr., Sides, S. C., & Anderson, J. A. (1991). Comparison of Three Different Methods to Merge Multiresolution andMultispectral Data: Landsat TM and SPOT Panchromatic. Photogrammetric Engineering & Remote Sensing, 57(3), 295-303.
[3]	Crippen, R. E. (1987). The Regression Intersection Method of Adjusting Image Data for Band Ratioing. International Journal ofRemote Sensing, 8(2), 137-155.
[4]	Crippen, R. E. (1989). A Simple Spatial Filtering Routine for the Cosmetic Removal of Scan-Line Noise from Landsat TM P-Tape Imagery. Photogrammetric Engineering & Remote Sensing, 55(3), 327-331.
[5]	Daily, M. (1983). Hue-Saturation-Intensity Split-Spectrum Processing of Seasat Radar Imagery. Photogrammetric Engineering & Remote Sensing, 49(3), 349-355.
[6]	Frazier, P. S., &Page, K. J. (2000). Water Body Detection and Delineationwith Landsat TM Data. Photogrammetric Engineering and Remote Sensing, 66(12), 1461-1467.
[7]	García-Rubio, C., Huntley, D., & Russell, P. (2014). Evaluating shoreline identification using optical satellite images. Marine Geology, 359(2015), 96-105.
[8]	Ghoneim, E., Mashaly, J., Gamble, D., Halls, J., &AbuBakr, M. (2014). Nile Delta exhibited a spatial reversal in the rates of shoreline retreat on the Rosetta promontory comparing pre- and post-beach protection. Geomorphology, 228(2015), 1-14.
[9]	Kloiber, S. M., Brezonik, P. L., & Bauer, M. E. (2002). Application of Landsat Imagery to Regional scale Assessment of Lake Clarity. Water Research, 36, 4330-4340.
[10]	Kong, D. X., Miao, C. Y., Borthwick, A. G. L., Duan, Q. Y., Liu, H., Sun, Q. H., Ye, A. Z., Di, Z. H., & Gong, W. (2014). Evolution of the Yellow River Delta and its relationship with runoff and sediment load from 1983 to 2011. Journal of Hydrology. 520(2015), 157-167.
[11]	Lemeshewsky, George P. (1999). Multispectral multisensor image fusion using wavelet transforms. in Visual Image Processing VIII, S. K. Park and R. Juday, Ed., Proc SPIE 3716, 214-222.
[12]	Liu, J. G., &Mason, P. J. (2009). Essential Image Processingand GIS for Remote Sensing, Wiley-Blackwell, London, 37-134.
[13]	McFeeters, S. K. (1996) The Use of Normalized Difference Water Index(NDWI) in the Delineation of Open Water Features. InternationalJournal of Remote Sensing, 17(7), 1425-1432.
[14]	Schott, J. R. (2007). Remote Sensing the Image Chain Approach, 2nd Edition, OXFORDUNIVERSITY PRESS, 405-411.
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[16]	Welch, R., &Ehlers, W. (1987). Merging Multiresolution SPOT HRV and Landsat TM Data. Photogrammetric Engineering& Remote Sensing, 53(3), 301-303.
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APA Style

Jo Jong-Song, Cha Jong-Hun. (2016). Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+. International Journal of Atmospheric and Oceanic Sciences, 1(1), 1-6. https://doi.org/10.11648/j.ijaos.20170101.11

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ACS Style

Jo Jong-Song; Cha Jong-Hun. Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+. Int. J. Atmos. Oceanic Sci. 2016, 1(1), 1-6. doi: 10.11648/j.ijaos.20170101.11

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AMA Style

Jo Jong-Song, Cha Jong-Hun. Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+. Int J Atmos Oceanic Sci. 2016;1(1):1-6. doi: 10.11648/j.ijaos.20170101.11

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@article{10.11648/j.ijaos.20170101.11,
  author = {Jo Jong-Song and Cha Jong-Hun},
  title = {Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+},
  journal = {International Journal of Atmospheric and Oceanic Sciences},
  volume = {1},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.ijaos.20170101.11},
  url = {https://doi.org/10.11648/j.ijaos.20170101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20170101.11},
  abstract = {Extraction of shoreline incoastal zone is important for coast protection and management. This paper presents extractingthe shoreline with fusion images, which are obtained using various image fusion methods such as IHStransform, Brovey Transform, Multiplicative, Principle Component, Wavelet Resolution Merge. Artificial constructions (e.g. coastalembankments), islands, lakes, tidal mudflats and estuaries have been selected as evaluation objects, shorelines of which are extracted and analyzed. The result indicates that shoreline extraction effect by the Principle Component method is bestamong other methods.},
 year = {2016}
}

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TY  - JOUR
T1  - Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+
AU  - Jo Jong-Song
AU  - Cha Jong-Hun
Y1  - 2016/12/21
PY  - 2016
N1  - https://doi.org/10.11648/j.ijaos.20170101.11
DO  - 10.11648/j.ijaos.20170101.11
T2  - International Journal of Atmospheric and Oceanic Sciences
JF  - International Journal of Atmospheric and Oceanic Sciences
JO  - International Journal of Atmospheric and Oceanic Sciences
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2640-1150
UR  - https://doi.org/10.11648/j.ijaos.20170101.11
AB  - Extraction of shoreline incoastal zone is important for coast protection and management. This paper presents extractingthe shoreline with fusion images, which are obtained using various image fusion methods such as IHStransform, Brovey Transform, Multiplicative, Principle Component, Wavelet Resolution Merge. Artificial constructions (e.g. coastalembankments), islands, lakes, tidal mudflats and estuaries have been selected as evaluation objects, shorelines of which are extracted and analyzed. The result indicates that shoreline extraction effect by the Principle Component method is bestamong other methods.
VL  - 1
IS  - 1
ER  -

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Author Information

Jo Jong-Song

Department of Earth and Environmental Science, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea
Cha Jong-Hun

Department of Earth and Environmental Science, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

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APA Style

Jo Jong-Song, Cha Jong-Hun. (2016). Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+. International Journal of Atmospheric and Oceanic Sciences, 1(1), 1-6. https://doi.org/10.11648/j.ijaos.20170101.11

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ACS Style

Jo Jong-Song; Cha Jong-Hun. Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+. Int. J. Atmos. Oceanic Sci. 2016, 1(1), 1-6. doi: 10.11648/j.ijaos.20170101.11

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AMA Style

Jo Jong-Song, Cha Jong-Hun. Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+. Int J Atmos Oceanic Sci. 2016;1(1):1-6. doi: 10.11648/j.ijaos.20170101.11

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@article{10.11648/j.ijaos.20170101.11,
  author = {Jo Jong-Song and Cha Jong-Hun},
  title = {Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+},
  journal = {International Journal of Atmospheric and Oceanic Sciences},
  volume = {1},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.ijaos.20170101.11},
  url = {https://doi.org/10.11648/j.ijaos.20170101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20170101.11},
  abstract = {Extraction of shoreline incoastal zone is important for coast protection and management. This paper presents extractingthe shoreline with fusion images, which are obtained using various image fusion methods such as IHStransform, Brovey Transform, Multiplicative, Principle Component, Wavelet Resolution Merge. Artificial constructions (e.g. coastalembankments), islands, lakes, tidal mudflats and estuaries have been selected as evaluation objects, shorelines of which are extracted and analyzed. The result indicates that shoreline extraction effect by the Principle Component method is bestamong other methods.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Application Effect Analysis of Image Fusion Methods for Extraction of Shoreline in Coastal Zone Using Landsat ETM+
AU  - Jo Jong-Song
AU  - Cha Jong-Hun
Y1  - 2016/12/21
PY  - 2016
N1  - https://doi.org/10.11648/j.ijaos.20170101.11
DO  - 10.11648/j.ijaos.20170101.11
T2  - International Journal of Atmospheric and Oceanic Sciences
JF  - International Journal of Atmospheric and Oceanic Sciences
JO  - International Journal of Atmospheric and Oceanic Sciences
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2640-1150
UR  - https://doi.org/10.11648/j.ijaos.20170101.11
AB  - Extraction of shoreline incoastal zone is important for coast protection and management. This paper presents extractingthe shoreline with fusion images, which are obtained using various image fusion methods such as IHStransform, Brovey Transform, Multiplicative, Principle Component, Wavelet Resolution Merge. Artificial constructions (e.g. coastalembankments), islands, lakes, tidal mudflats and estuaries have been selected as evaluation objects, shorelines of which are extracted and analyzed. The result indicates that shoreline extraction effect by the Principle Component method is bestamong other methods.
VL  - 1
IS  - 1
ER  -

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