【摘要】 FY-3D极轨气象卫星作为最新一代的极地轨道气象卫星,其图像数据包含了丰富的植被、河流、山区等地表信息,对陆地资源调查、地表类型变化监测等具有重要作用。但几乎每轨遥感图像大约有2/3区域都被云雾覆盖,无法直接获取云层下的地表信息用于产品应用。本文研究晴空数据合成技术,首次提出反射率最小合成法、植被指数最大合成法和西格玛合成法的3个标准联合运用的晴空合成技术,利用先进的多时次气象卫星遥感数据合成技术,自动生成FY-3D中分辨率光谱成像仪(MERSI-II)250m分辨率晴空遥感数据,较好地实现了云和云阴影的去除,生成的晴空效果良好,具备了后续应用的价值。更多还原

【Abstract】 The FY-3 D polar orbiting meteorological satellite is the latest generation of polar orbiting meteorological satellites.Its image data contain abundant surface information such as vegetation,rivers,mountains and so on.It plays an important role in the monitoring of land resource survey and land surface type change.However,nearly two-thirds of each remote sensing image is covered by clouds and fogs,so it is impossible to obtain directly surface information under the clouds for product application.The technology of data synthesis in clear sky is very important.The technology of combining three standards,i.e.,minimum reflectance synthesis,maximum vegetation index synthesis and sigma synthesis,is proposed innovatively,by using the advanced synthesis technology of multi-time meteorological satellite remote sensing data,the 250-m resolution remote sensing data of the FY-3 D medium-resolution spectral imager(MERSI-II)can be automatically generated,which can remove the clouds and cloud shadows.更多还原