海洋水色遥感图像伪彩化方法的研究  

Study on the pseudo-color of the ocean color remote sensing images

作　　者：尹中林[1] 毛天明[1] 陆嘉[1] 

机构地区：[1]卫星海洋环境动力学国家重点实验室,国家海洋局第二海洋研究所,浙江杭州310012

出　　处：《海洋学研究》2008年第4期41-48,共8页Journal of Marine Sciences

摘　　要：分析了国内外有关信息伪彩化应用的研究现状后认为:海洋水色遥感图像的伪彩化应该是基于任务的,也只有基于任务的伪彩化才能保证伪彩化结果的准确性。基于任务的伪彩化要求必须从伪彩化相关的3个对象(信息、色彩与用户)所具有的特点出发,确定有针对性的伪彩化实现方案。在综合考虑了伪彩化3个对象的特点后,提出海洋水色遥感图像的伪彩化可以分3种方案进行伪彩化设计,每种方案都有自己的针对性、使用范围及局限性。方案1是针对对海洋信息作定量分析而提出来的,主要用于揭示海洋信息中的高频快变成分,同时兼顾揭示信息中的低频成分,被分析信息的波动幅度不大。方案2是针对对海洋信息作定性分析而提出的,不强求对信息量的准确量化,更多关心的是海洋信息相互间的关系,因此要求色标具有很高的信息表现力。方案3是方案1及方案2的补充,方案1具有定量能力,但总色差较小,对信息的解析能力有限,方案2虽然有较大的总色差,具有较好的解析能力,但只有定性能力,方案3将在保持局部区域的定量特点外,扩大整体的总色差。在伪彩化或可视化设计中,主要是关心数据信息中最引人注意的部分也即突出最重要的部分,在大多数情况下,用户对数据信息的低端及高端更感兴趣,这也是方案3中双反色调色板设计及使用的基础。3种方案的针对性设计将方便伪彩化在水色遥感信息分析中的准确、快捷使用。文章最后通过例子证明,在对海洋水色遥感信息的分析和研究中,选择3个方案中的1种或几种作适当的调整,海洋水色遥感信息可以得到较好的诠释。The pseudo-color processing technology has been color remote sensing information, but no pertinent research widely applied to the analyzing process of oceanhas been carried out on how to apply this method accurately and efficiently. Analysis of the information about the research status of pseudo-color application at home and abroad shows that the pseudo-color processing of ocean-color remote sensing information should be based on missions, which is the only way to ensure the accuracy of the results. Mission based pseudo-color process demands that pertinent pseudo-color process implementing program should be determined in the light of the characteristics of three objects （information, color and user）. The ocean-color information has common characteristics of continuity, boundedness and quantifiahility, but different information has different characteristics of time-domain, spatial-domain and frequency-domain. Color has three attributes： hue, lightness and saturation. Hue is the basic appearance of color, and the most chief elementary characteristic to distinguish colors from each other. Lightness is the characteristic magnitude to show the brightness of an object. Hue has an excellent ability to be categorized and good selectability, hut limited sequencing ability, while lightness can be selected, sequenced and quantified but can be categorized. Saturation has an obvious ability to be sequenced and a certain ability to be quantified. In addition, saturation and lightness have different response to the change of spatial frequency. Lightness has responds well to high-frequency, and it is suitable to process data and image of high-frequency and quick changing, while saturation is more applicable to reflect the low-frequency components of the information. In the pseudo-color processing, the purpose and habit of user, such as qualitative analysis or quantitative analysis and the color preferences, will influence the design, implementation and even final result of the program. Comprehensive consideration of above

关 键 词：水色 伪彩化 色标 图像 

分 类 号：P714.1[天文地球—海洋科学]