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本文从水体具有的多光谱特性出发,利用陆地卫星 CCT 数据和现场悬浮泥沙浓度测量值,得到了多元非线性回归模式。波段比值作为相关模式的变量既具有能消除光照变化、太阳高度角、扫描角以及水面波动等变化影响的特点,又可以省略遥感数据需要绝对辐射标定的过程。根据在卫星 MSS-7波段图象上接收不到清净水体向上辐射的能量特征,对程辐射作了近似的订正。除此之外,根据回归方程,通过数字图象处理,取得了长江口、吕泗近海悬浮泥沙浓度等值图,并对该区域的泥沙运动及其分布状况作了分析判读。文章最后利用珠江口伶仃洋赤湾近海悬浮泥沙浓度资料,对多元回归模式进行了验证计算,误差是合理的。
Based on the multispectral characteristics of water bodies, this paper obtained the multivariate nonlinear regression model using land-based satellite CCT data and on-site suspended sediment concentration measurements. The band ratio as the variable of correlation mode not only has the characteristics of eliminating the influence of changes of illumination, solar elevation angle, scan angle and water surface fluctuation, but also omits the process of absolute radiometric calibration of remote sensing data. Based on the energy characteristics of the upward radiated emission of clean water not received on the satellite MSS-7 band images, the radiated emissions were approximately corrected. In addition, according to the regression equation, the contour map of suspended sediment concentration in the Changjiang estuary and Lu Si offshore was obtained through digital image processing, and the sediment movement and its distribution in the area were analyzed and interpreted. In the end, by using the data of suspended sediment concentration in the offshore Chi Ding Bay of the Pearl River Estuary, the multiple regression model is validated and calculated, and the error is reasonable.