基于反對稱二進小波的SAR圖像海洋表面油膜檢測方法
Zero-Antisymmetrical Dyadic Wavelet-Based Oil Spill Detection Method in SAR Images
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摘要: 海洋表面油膜檢測是合成孔徑雷達(SAR)很重要的應(yīng)用領(lǐng)域之一。小波方法是近年來研究較多的圖像邊緣檢測方法。通常的SAR圖像油膜檢測采用高斯函數(shù)一階導(dǎo)和二階導(dǎo)作為小波基函數(shù)，運算速度慢；該文采用反對稱二進小波，利用小波變換多分辨率分析(MRA)思想，經(jīng)多尺度綜合得到油膜邊緣圖像。實驗證明這是一種有效、有前途的SAR圖像海洋表面油膜檢測方法。
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關(guān)鍵詞:
- 合成孔徑雷達;油膜檢測;小波變換
Abstract: Oil spill detection is one of the very important application fields in Synthetic Aperture Radar (SAR) images. Wavelet method is an edge detection method broadly researched in resent years. Normal oil spill detection uses the first and second derivatives of a Gaussian function as the basic wavelet function, which has slow computing speed. This paper utilizes zero-antisymmetrical dyadic wavelet, using multi-resolution analysis and multi-scale integration to get oil spill edge images. The results demonstrate that it is a useful and promising method for oil spill detection in SAR images. -
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