摘要
利用Savitzky-Golay滤波信号处理方法,分析了南黄海、北东海2003年春季水色遥感试验所取得的遥感反射率和表层悬浮体取样数据,以期探讨该海区近岸二类水体表观光谱及其导数光谱特性,及遥感反射率及其导数与水体表层总悬浮颗粒物浓度(TSS)和悬浮泥沙浓度(SS)的关系。结果表明,遥感反射率及其一阶导数均适于水体总悬浮颗粒物浓度与悬浮泥沙浓度反演,但其更高阶导数通常会抑制悬浮泥沙的作用则不建议采用;遥感反射率及其一阶导数与ln(TSS)、ln(SS)的相关性较其与TSS和SS更为显著。基于相关分析所筛选出的较优波段,建立了南黄海、北东海水域春季总悬浮颗粒物浓度与悬浮泥沙浓度统计反演模式。
An experimental above-water radiance measurement campaign was conducted during spring of 2003 in the Yellow Sea and East China Sea, with a co-incident water sample for each measurement. The Savitzky-Golay smoothing was employed to filter field spectral signature and to derive the first and second-derivative spectra. Remote sensing reflectance （Rrs） and its derivatives were analyzed and their correlation relationships with the concentrations of total suspended solid （TSS） and suspended sediment （SS） were demonstrated. The result shows that there are higher correlation coefficients between both Rrs and its first derivative and the natural logarithms of TSS and SS than between both Rrs and its first derivative and both TSS and SS. Moreover, the waveband with the maximum correlation coefficient was used to construct the corresponding regression equations of Rrs and its first derivative with the natural logarithms of TSS and SS.
出处
《海洋与湖沼》
CAS
CSCD
北大核心
2010年第2期161-166,共6页
Oceanologia Et Limnologia Sinica
基金
国家自然科学基金项目
40706035号
国家自然科学基金项目
40676037号
国家863资助项目
2007AA12Z161号
关键词
Savitzky.Golay滤波
遥感反射率
悬浮泥沙
光谱导数
最小二乘回归
Savitzky-Golay smoothing filter, Remote sensing reflectance, Suspended solid, DerivatiVe spectral reflectance, Least square regression
