遙感圖像中尺度海洋鋒及渦旋提取方法研究進(jìn)展
發(fā)布時(shí)間:2018-11-20 07:33
【摘要】:目的中尺度海洋鋒及渦旋均是重要的中尺度海洋環(huán)境特征。中尺度海洋鋒及渦旋的提取及其時(shí)空分布、變化的研究對(duì)海洋生態(tài)系統(tǒng)的研究、漁業(yè)資源評(píng)估、漁情預(yù)報(bào)及軍事等都有重要意義。遙感技術(shù)能在同一時(shí)間獲取大面積海洋要素觀測(cè)數(shù)據(jù),遙感數(shù)據(jù)具有優(yōu)良的連續(xù)性、同步性,因此遙感數(shù)據(jù)被廣泛應(yīng)用于中尺度海洋鋒及渦旋提取的研究中。方法對(duì)基于遙感數(shù)據(jù)進(jìn)行中尺度海洋鋒提取的梯度法、Canny算法、小波分析法和基于引力模型的方法,以及渦旋的提取的Okubo-Weiss法(OW法)、Winding-Angle法(WA法)、基于海面高度的無(wú)閾值等值線法和Hybird Detection(HD法)進(jìn)行總結(jié)和分析,并提出對(duì)中尺度海洋鋒面及渦旋提取方法的見(jiàn)解及新思路。結(jié)果利用2014年2月南海北部海表溫度(SST)數(shù)據(jù),分別采用梯度法中的Gradient法、Sobel算法以及Canny算法對(duì)南海北部溫度鋒進(jìn)行提取并得到該區(qū)域溫度鋒分布圖。結(jié)果表明在多種鋒面提取方法中,Canny算法具有較高的效率且其提取結(jié)果的連續(xù)性和精度更好。中尺度渦的提取方法中,WA法的提取結(jié)果具有更好的準(zhǔn)確性。早期的中尺度渦提取方法忽略了多中心結(jié)構(gòu)渦旋存在的情況,而后來(lái)的HD法能較好地識(shí)別多中心結(jié)構(gòu)渦旋。結(jié)論閾值選取是中尺度海洋鋒及渦旋提取的難點(diǎn)和提取結(jié)果好壞的關(guān)鍵。然而海洋要素圖像弱邊緣的特點(diǎn)使得傳統(tǒng)邊緣檢測(cè)方法不一定適用于中尺度鋒提取。文章通過(guò)對(duì)不同鋒面及渦旋提取方法的總結(jié)與分析,為海洋鋒面及渦旋提取的研究提供了參考依據(jù)。
[Abstract]:Objective Mesoscale ocean front and vortex are important characteristics of mesoscale marine environment. The extraction of mesoscale ocean fronts and vortices and their temporal and spatial distribution and variation are of great significance to the study of marine ecosystem, fishery resource assessment, fishery situation prediction and military affairs. Remote sensing technology can obtain large area ocean element observation data at the same time. Remote sensing data have excellent continuity and synchronism, so remote sensing data are widely used in the research of mesoscale ocean front and vortex extraction. Methods the gradient method, Canny algorithm, wavelet analysis method and gravity model based method were used to extract mesoscale ocean fronts from remote sensing data. Okubo-Weiss method (OW method) and Winding-Angle method (WA method) were used to extract vortex. Based on the sea surface height without threshold contour method and Hybird Detection (HD method, this paper summarizes and analyzes the method of mesoscale ocean front and vortex extraction, and puts forward some new ideas for mesoscale ocean front and vortex extraction method. Results based on the (SST) data of sea surface temperature in the northern South China Sea in February 2014, the temperature front of the northern South China Sea was extracted by the Gradient method, the Sobel algorithm and the Canny algorithm, respectively, and the temperature front distribution map was obtained. The results show that the Canny algorithm is more efficient and has better continuity and accuracy in many frontal extraction methods. In the mesoscale vortex extraction method, the WA method has better accuracy. The early mesoscale vortex extraction method ignored the existence of polycentric vortex, while the later HD method could better identify the polycentric vortex. Conclusion the threshold selection is the key to the extraction of mesoscale ocean fronts and vortices. However, because of the weak edge of ocean image, the traditional edge detection method is not suitable for mesoscale front detection. Through the summary and analysis of different frontal and vortex extraction methods, this paper provides a reference for the study of ocean frontal and vortex extraction.
【作者單位】: 中國(guó)水產(chǎn)科學(xué)研究院漁業(yè)資源遙感信息技術(shù)重點(diǎn)實(shí)驗(yàn)室;上海海洋大學(xué)海洋科學(xué)學(xué)院;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目(31602206) 上海市自然科學(xué)基金項(xiàng)目(16ZR1444700) 中央公益性科研院所基本科研業(yè)務(wù)費(fèi)(2016T05) 上?苿(chuàng)項(xiàng)目(14DZ1205000)~~
【分類號(hào)】:TP751
本文編號(hào):2344263
[Abstract]:Objective Mesoscale ocean front and vortex are important characteristics of mesoscale marine environment. The extraction of mesoscale ocean fronts and vortices and their temporal and spatial distribution and variation are of great significance to the study of marine ecosystem, fishery resource assessment, fishery situation prediction and military affairs. Remote sensing technology can obtain large area ocean element observation data at the same time. Remote sensing data have excellent continuity and synchronism, so remote sensing data are widely used in the research of mesoscale ocean front and vortex extraction. Methods the gradient method, Canny algorithm, wavelet analysis method and gravity model based method were used to extract mesoscale ocean fronts from remote sensing data. Okubo-Weiss method (OW method) and Winding-Angle method (WA method) were used to extract vortex. Based on the sea surface height without threshold contour method and Hybird Detection (HD method, this paper summarizes and analyzes the method of mesoscale ocean front and vortex extraction, and puts forward some new ideas for mesoscale ocean front and vortex extraction method. Results based on the (SST) data of sea surface temperature in the northern South China Sea in February 2014, the temperature front of the northern South China Sea was extracted by the Gradient method, the Sobel algorithm and the Canny algorithm, respectively, and the temperature front distribution map was obtained. The results show that the Canny algorithm is more efficient and has better continuity and accuracy in many frontal extraction methods. In the mesoscale vortex extraction method, the WA method has better accuracy. The early mesoscale vortex extraction method ignored the existence of polycentric vortex, while the later HD method could better identify the polycentric vortex. Conclusion the threshold selection is the key to the extraction of mesoscale ocean fronts and vortices. However, because of the weak edge of ocean image, the traditional edge detection method is not suitable for mesoscale front detection. Through the summary and analysis of different frontal and vortex extraction methods, this paper provides a reference for the study of ocean frontal and vortex extraction.
【作者單位】: 中國(guó)水產(chǎn)科學(xué)研究院漁業(yè)資源遙感信息技術(shù)重點(diǎn)實(shí)驗(yàn)室;上海海洋大學(xué)海洋科學(xué)學(xué)院;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目(31602206) 上海市自然科學(xué)基金項(xiàng)目(16ZR1444700) 中央公益性科研院所基本科研業(yè)務(wù)費(fèi)(2016T05) 上?苿(chuàng)項(xiàng)目(14DZ1205000)~~
【分類號(hào)】:TP751
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1 陳標(biāo),張本濤,何偉平;利用星載SAR圖像檢測(cè)海洋鋒的方法[J];遙感技術(shù)與應(yīng)用;2002年04期
2 張偉;曹洋;羅玉;;一種基于Canny和數(shù)學(xué)形態(tài)學(xué)的海洋鋒檢測(cè)方法[J];海洋通報(bào);2014年02期
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