Internal Wave Extraction in Sar Oceanic Surface Image Based on Stationary Wavelet Transform
نویسندگان
چکیده
An Internal Wave Feature Extraction (IWFE)algorithm based on Stationary Wavelet Transform (SWT) in SAR oceanic surface images is proposed. In this algorithm, SWT is applied to process SAR images and its coefficients are used to calculate the Wavelet Gradient Information (WGI). And the IWFE is obtained as edges by searching the calcaulated WGI’s maximum module value.. The morphological thinning algorithm and threshold technique are also used for edge refinement to suppress the other oceanic features, isolate Speckle noise. The results obtained from ERS-1 and ERS-2 SAR images show that the proposed method is more efficient than the traditional down sampling discrete wavelet transform in IWFE. The algorithm can be easily implemented and give an accurate and complete location of internal waves in SAR images.
منابع مشابه
Feature Extraction of Oceanic Internal Waves Based on Remote Sensing Imagery
Oceanic internal waves play an important role in fishing activities and the safety of oil drilling platforms, as well as the navy’s antisubmarine warfare (ASW) and the safety of submarines. Due to its characteristics of relatively all weather capability, Synthetic Aperture Radar (SAR) images became popular in observing the appearance of oceanic internal waves recently. The purpose of this study...
متن کاملApplication of Wavelet Transform for Internal Wave Detection in Sar Image
In this paper, wavelet transform based on dyadic scales and spatial location have been used for internal wave detection in SAR image. It performed by using multi resolution analysis of image for feature detection and image enhancement. Wavelet transform uses local analysis to analyze a shorter region in image in time and scale data allows precise information than time and frequency region analy...
متن کاملInternal Wave Observation in Southwest Coast of Japan
This research deals with internal waves observation around southwest coast of Japan by using ERS-1/2 SAR and Topex/Poseidon (T/P) images during 1993-2002 period. Proposed method consisting of Symlet wavelet analysis and Canny edge detector can detect internal wave in SAR image. Internal waves were detected with higher wavelet coefficient than sea surface on horizontal and vertical detail coeffi...
متن کاملInternal Wave Detection in SAR Image
ABATRACT Bragg scattering process in sea surface represent the meso-scale feature of sea processes in SAR image. SAR image data is used to for large scales area of monitoring on near real time data. In this research, wavelet analysis is applied to monitor internal wave in ERS-2 SAR image. Wavelet transform of SAR image can be used as feature detection and image enhancement. Furthermore, wavelet...
متن کاملThe Application of Wavelet Analysis for Internal Wave Detection in Sar and Optical Images Data over Tsushima Strait
On this paper, wavelet analysis has been used for internal wave detection in ERS SAR and ASTER images data over Tsushima strait, southwest of Japan, during 1993-2004 period. Various wavelet transforms, such as Haar wavelet, Symlet wavelet, Coif wavelet, Daubechies wavelet, and Discreet Meyer wavelet, are tested comparably with different level of synthesize image on horizontal, diagonal, and ver...
متن کامل