Wavelet Spectrum Extracted from Coastal Marine Radar Images

Dong-Jiing Doong, Li Chung Wu, Chia Chuen Kao, Zsu-Hsin Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Ocean waves are extremely random and are directly and indirectly dependent on meteorological, hydrological, oceanographic and topographical factors. Field measurements must be performed to increase the knowledge of ocean waves. Remote sensing techniques have become quite popular for ocean wave measurement applications. Microwave RADAR that can provide all weather monitoring during day and night and is less affected by cloud and rain is now the most popular sensor of remote sensing techniques among others. The spectrum represents the distribution of wave energy. The wave parameters such as wave height, period, direction and wavelength are derived from wave spectrum. It is therefore important to derive the spectral information from remote sensing images. However, the nearshore images feature non-homogeneity. It is therefore the purpose of this study to develop a non-homogeneous image spectrum analysis method in order to extract the spectral information. This method is developed based on two-dimensional Wavelet transform which has space-frequency representation. The derived image spectrum is called the Wavelet Spectrum. This paper presents the derivation and validation of this method.

Original languageEnglish
Title of host publicationProceedings of the International Offshore and Polar Engineering Conference
Pages1603-1609
Number of pages7
Publication statusPublished - 2003
EventProceedings of the Thirteenth (2003) International Offshore and Polar Engineering Conference - Honolulu, HI, United States
Duration: 2002 May 252003 May 30

Other

OtherProceedings of the Thirteenth (2003) International Offshore and Polar Engineering Conference
CountryUnited States
CityHonolulu, HI
Period02-05-2503-05-30

Fingerprint

Marine radar
Water waves
Remote sensing
Spectrum analysis
Wavelet transforms
Rain
Microwaves
Wavelength
Monitoring
Sensors

All Science Journal Classification (ASJC) codes

  • Ocean Engineering

Cite this

Doong, D-J., Wu, L. C., Kao, C. C., & Chuang, Z-H. (2003). Wavelet Spectrum Extracted from Coastal Marine Radar Images. In Proceedings of the International Offshore and Polar Engineering Conference (pp. 1603-1609)
Doong, Dong-Jiing ; Wu, Li Chung ; Kao, Chia Chuen ; Chuang, Zsu-Hsin. / Wavelet Spectrum Extracted from Coastal Marine Radar Images. Proceedings of the International Offshore and Polar Engineering Conference. 2003. pp. 1603-1609
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Doong, D-J, Wu, LC, Kao, CC & Chuang, Z-H 2003, Wavelet Spectrum Extracted from Coastal Marine Radar Images. in Proceedings of the International Offshore and Polar Engineering Conference. pp. 1603-1609, Proceedings of the Thirteenth (2003) International Offshore and Polar Engineering Conference, Honolulu, HI, United States, 02-05-25.

Wavelet Spectrum Extracted from Coastal Marine Radar Images. / Doong, Dong-Jiing; Wu, Li Chung; Kao, Chia Chuen; Chuang, Zsu-Hsin.

Proceedings of the International Offshore and Polar Engineering Conference. 2003. p. 1603-1609.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Chuang, Zsu-Hsin

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N2 - Ocean waves are extremely random and are directly and indirectly dependent on meteorological, hydrological, oceanographic and topographical factors. Field measurements must be performed to increase the knowledge of ocean waves. Remote sensing techniques have become quite popular for ocean wave measurement applications. Microwave RADAR that can provide all weather monitoring during day and night and is less affected by cloud and rain is now the most popular sensor of remote sensing techniques among others. The spectrum represents the distribution of wave energy. The wave parameters such as wave height, period, direction and wavelength are derived from wave spectrum. It is therefore important to derive the spectral information from remote sensing images. However, the nearshore images feature non-homogeneity. It is therefore the purpose of this study to develop a non-homogeneous image spectrum analysis method in order to extract the spectral information. This method is developed based on two-dimensional Wavelet transform which has space-frequency representation. The derived image spectrum is called the Wavelet Spectrum. This paper presents the derivation and validation of this method.

AB - Ocean waves are extremely random and are directly and indirectly dependent on meteorological, hydrological, oceanographic and topographical factors. Field measurements must be performed to increase the knowledge of ocean waves. Remote sensing techniques have become quite popular for ocean wave measurement applications. Microwave RADAR that can provide all weather monitoring during day and night and is less affected by cloud and rain is now the most popular sensor of remote sensing techniques among others. The spectrum represents the distribution of wave energy. The wave parameters such as wave height, period, direction and wavelength are derived from wave spectrum. It is therefore important to derive the spectral information from remote sensing images. However, the nearshore images feature non-homogeneity. It is therefore the purpose of this study to develop a non-homogeneous image spectrum analysis method in order to extract the spectral information. This method is developed based on two-dimensional Wavelet transform which has space-frequency representation. The derived image spectrum is called the Wavelet Spectrum. This paper presents the derivation and validation of this method.

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M3 - Conference contribution

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Doong D-J, Wu LC, Kao CC, Chuang Z-H. Wavelet Spectrum Extracted from Coastal Marine Radar Images. In Proceedings of the International Offshore and Polar Engineering Conference. 2003. p. 1603-1609