Albert Andreas, Gege Peter
Department of Marine Remote Sensing, Institute of Remote Sensing Technology, German Aerospace Center (DLR), Wessling, Germany.
Appl Opt. 2006 Apr 1;45(10):2331-43. doi: 10.1364/ao.45.002331.
What we believe to be a new inversion procedure for multi- and hyperspectral data in shallow water, represented by the subsurface irradiance and remote sensing reflectance spectra, was developed based on analytical equations by using the method of nonlinear curve fitting. The iteration starts using an automatic determination of the initial values of the fit parameters: concentration of phytoplankton and suspended matter, absorption of gelbstoff, bottom depth, and the fractions of up to six bottom types. Initial values of the bottom depth and suspended matter concentration are estimated analytically. Phytoplankton concentration and gelbstoff absorption are initially calculated by the method of nested intervals. A sensitivity analysis was made to estimate the accuracy of the entire inversion procedure including model error, error propagation, and influence of instrument characteristics such as noise, and radiometric and spectral resolution. The entire inversion technique is included in a public-domain software (WASI) to provide a fast and user-friendly tool of forward and inverse modeling.
我们基于解析方程，采用非线性曲线拟合方法，开发了一种我们认为是用于浅水中多光谱和高光谱数据的新反演程序，该数据以水下辐照度和遥感反射光谱为代表。迭代开始时会自动确定拟合参数的初始值：浮游植物和悬浮物的浓度、黄色物质的吸收、底部深度以及多达六种底部类型的比例。底部深度和悬浮物浓度的初始值通过解析估计。浮游植物浓度和黄色物质吸收最初通过区间套方法计算。进行了敏感性分析，以估计整个反演程序的准确性，包括模型误差、误差传播以及仪器特性（如噪声、辐射分辨率和光谱分辨率）的影响。整个反演技术包含在一个公共领域软件（WASI）中，以提供一个快速且用户友好的正演和反演建模工具。
