Abstract:Total suspended matter concentration is one of the important parameters of water component. Traditional retrieval model ignored the difference of case 2 water which has complex optical properties. In the present study, we developed a method of water classification based on optical classification using HJ-1 multispectral data. We divided the water into two types and developed a retrieval model suitable for different water type. The results indicate: (1) the accuracy of retrieved results based on spectral classification has been improved; (2) exponential model reflects the relationship between suspended sediment concentration and retrieved factor and is better for type Ⅰ water, while linear model is better for type Ⅱ water.
李 渊,李云梅*,施 坤,吕 恒,郭宇龙,周 莉,刘 阁 . 基于光谱分类的总悬浮物浓度估算 [J]. 光谱学与光谱分析, 2013, 33(10): 2721-2726.
LI Yuan, LI Yun-mei*, SHI Kun, Lü Heng, GUO Yu-long, ZHOU Li, LIU Ge . Evaluation of Total Suspended Matter Based on Spectral Classification . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2721-2726.
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