水色光谱分析与多成分反演算法

影响水体可见光近红外遥感信息提取精度的因素除大气候正外，主要是对水体（海洋）光谱与水体所含物质成分之间的作用机理了解得不够。由于水体光谱的机理与陆地地物波谱的机理有很大的差别，共光谱数据的测量和分析方法也不一样。该文首先较为完整地描述了地叶绿素、悬浮泥沙、黄色物质为主要水体成分的水色机理，以及遥感反射率与各成分散射与吸收的关系，确定了进行水体光谱分析所必须的关键参数，然后提出一种基于快局域水体的多

Ocean Color Analysis and an Algorithm for the Retrieval of Multiconstituents Based on Remote Sensing Reflectance

Beside atmospheric correction, another major factor that influences the precision of water color sensing is the unknown spectral characteristics of the water. Because of inherent different characters, there is great difference between the spectral measurement and analysis of lands and that of waters. In this paper, we first describe the relationship between remote sensing reflectance and the constituents of the water then propose an algorithm that can retrieve the concentrations of the main constituents of the water, which is different from the models of one algorithm for one constituent.