地球信息科学学报
地毬信息科學學報
지구신식과학학보
GEO-INFORMATION SCIENCE
2013年
2期
187-192
,共6页
平博%苏奋振%杜云艳%孟云闪%苏伟光
平博%囌奮振%杜雲豔%孟雲閃%囌偉光
평박%소강진%두운염%맹운섬%소위광
海洋锋%万有引力%边缘检测%SST
海洋鋒%萬有引力%邊緣檢測%SST
해양봉%만유인력%변연검측%SST
oceanic fronts%the theory of universal gravity%edge detection%SST
海洋锋面是海洋水团特性明显不同的两种或几种水体之间的狭窄过渡带。本文旨在对遥感反演海洋温度场数据(SST),引入引力模型进行海洋锋面的检测。鉴于海洋锋受噪声干扰大,锋面强度小的特点,本文提出了基于引力算法的引力模型。其中,引力算法是将温度数据中的每一个像元点都作为一个独立的天体,其质量对应该像元的温度值,根据引力定律计算3×3区域中,邻域像元对中心点像元的引力和。模型首先对原始数据进行去0处理,为消除对原始数据明暗程度的依赖,对3×3区域数据进行归一化,然后利用函数对归一化后的数据进行增强处理,最后,以引力算法进行锋面检测。验证表明,该模型能有效强化不同区域或水体差异性,并能够有效针对海洋锋信息进行提取,受噪声影响小。
海洋鋒麵是海洋水糰特性明顯不同的兩種或幾種水體之間的狹窄過渡帶。本文旨在對遙感反縯海洋溫度場數據(SST),引入引力模型進行海洋鋒麵的檢測。鑒于海洋鋒受譟聲榦擾大,鋒麵彊度小的特點,本文提齣瞭基于引力算法的引力模型。其中,引力算法是將溫度數據中的每一箇像元點都作為一箇獨立的天體,其質量對應該像元的溫度值,根據引力定律計算3×3區域中,鄰域像元對中心點像元的引力和。模型首先對原始數據進行去0處理,為消除對原始數據明暗程度的依賴,對3×3區域數據進行歸一化,然後利用函數對歸一化後的數據進行增彊處理,最後,以引力算法進行鋒麵檢測。驗證錶明,該模型能有效彊化不同區域或水體差異性,併能夠有效針對海洋鋒信息進行提取,受譟聲影響小。
해양봉면시해양수단특성명현불동적량충혹궤충수체지간적협착과도대。본문지재대요감반연해양온도장수거(SST),인입인력모형진행해양봉면적검측。감우해양봉수조성간우대,봉면강도소적특점,본문제출료기우인력산법적인력모형。기중,인력산법시장온도수거중적매일개상원점도작위일개독립적천체,기질량대응해상원적온도치,근거인력정률계산3×3구역중,린역상원대중심점상원적인력화。모형수선대원시수거진행거0처리,위소제대원시수거명암정도적의뢰,대3×3구역수거진행귀일화,연후이용함수대귀일화후적수거진행증강처리,최후,이인력산법진행봉면검측。험증표명,해모형능유효강화불동구역혹수체차이성,병능구유효침대해양봉신식진행제취,수조성영향소。
Oceanic front is a narrow transitional zone that the penetration of sea is obviously different between two or more waters there, and it plays an important role in the national production, national defense, marine and weather. Based on the modified theory of universal gravity, sea surface temperature (SST) data near the Kuroshio front are used for front detection. The theory of universal gravity assumes that each image pixel is a celestial body with a mass represented by its value. According to the law of universal gravity, the forces of the pixels in the 3×3 neighbourhood exerted on the central pixels can be calculated. Because fronts are susceptible to the noise and intense of fronts are commonly low, a modified method are proposed to solve these problems in this ar-ticle. This method firstly eliminates the pixels that values equal to 0. Then in order to decrease the reliance on the brightness level of original data, a normalization step is applied to each 3×3 neighbourhood and next based on image enhancement function, each normalized 3×3 area can be enhanced. Finally, the theory of universal gravity is applied to enhanced data for front detection. The algorithm was tested and compared with conventional meth-ods using in the fronts detection such as Sobel, Jensen-Shannon. The results show that compared to conventional methods in some areas, the proposed algorithm can decrease noise while not cause fronts discontinuous.