论文部分内容阅读
Landsat8卫星的OLI传感器新增的穿透力强的深蓝波段,为近海水质监测提供了重要的数据资料.然而,深蓝波段用于近海泥沙水质监测的效果有待验证.本研究选取了渤海湾近海海域的一景少量云覆盖的Landsat8-OLI多光谱影像,经过裁剪得到海岸带和近海区域.利用不加入深蓝波段的六个波段和加入深蓝波段的七个波段对近海泥沙水体分类效果和精度进行对比研究.研究结果表明:深蓝波段参与分类对于中度泥沙海水的分类精度有显著提高,比深蓝波段未参与分类的中度泥沙海水的分类精度提高约12个百分点;深蓝波段参与分类对于泥沙海滩和轻度泥沙海水的制图精度没有显著影响.
Landsat8 satellite OLI sensor strong penetrating deep blue band provides an important data for offshore water quality monitoring.However, the effect of deep blue band for monitoring sediment quality in the sea remains to be verified.This study selected the Bohai Bay offshore Landsat8-OLI multispectral images covered by a few clouds in the sea area were cut to obtain the coastal and offshore areas.The classification effect and accuracy of offshore silt water bodies using six bands not added to the deep blue band and seven bands joining the deep blue band The results show that the classification accuracy of the medium-silt seawater is significantly improved by participating in the classification of the deep-blue band, and the accuracy of classification is about 12% higher than that of the medium-silt seawater not participating in the classification of the deep-blue band. There is no significant effect on the accuracy of mapping sediment and mild sediment.