对于海洋、湖泊、江河等透明水体表面的光谱、色度、色貌等特性的测定、认知、评价等，是颜色科学相关领域的新问题；相关研究在对地观测、遥感、水体背景目标场景模拟、水体背景目标探测与识别、水体资源探测、水体污染监控、国防及军事科技等诸多领域都有重要的理论意义和应用价值。本项目针对典型的海洋、湖泊等实景水体目标，研究水面场景的多光谱数据获取及其BRDF数据构建的理论与方法：采用实时多光谱成像技术获取典型水体表面的多视角光谱图像数据立方体，进而采用特定的多光谱重建算法建立多视角BRDF图像立方体。在此基础上研究典型水体表面实景目标的图像色貌预测方法：基于国际照明委员会（CIE）的CIECAM02色貌模型，并借鉴目前国际上的色貌模型研究的经验和成果，建立针对典型水体表面实景目标的图像色貌的预测模型架构及其评价体系，进而研究典型水体表面实景目标的跨媒体图像色貌的再现理论与技术。

The measurement, recognition and evaluation of the spectrum, chroma, color appearance and other characteristics of transparent water surfaces, such as oceans, lakes and rivers, are new issues in the field of color science; Relevant research has important theoretical significance and application value in many fields, such as earth observation, remote sensing, water background target scene simulation, water background target detection and recognition, water resources detection, water pollution monitoring, national defense and military science and technology. In this project, the theory and method of multi-spectral data acquisition and BRDF data construction for typical ocean and lake scenes are studied. The real-time multi-spectral imaging technology is used to obtain the multi-view spectral image data cube of typical water surface, and then the multi-view BRDF image cube is established by specific multi-spectral reconstruction algorithm. On this basis, the method of image color forecasting for typical water surface realistic targets is to be studied: Drawing on CIECAM02 color model recommended by CIE, and the experience and achievements of current international color model research, the framework of image color forecasting model for typical water surface realistic targets is to be established, and then the cross-media of typical water surface realistic targets is to be studied. Then, the theory and method of color appearance of cross-media images of real objects on typical water surfaces will be studied.