可见光-红外遥感手段自身的缺陷,使得云层的存在直接影响海洋背景下卫星遥感定量化产品的精度。目前,尚未见到有关HJ-1B卫星红外相机IRS(InfraRed Scanner)传感器可业务化运行的便捷云检测方法研究的报道。针对HJ-1B卫星IRS传感器波段特征,对云与海洋下垫面反射及发射特性进行分析,提出了一种可业务化应用的海洋背景卫星图像云检测方法。选取渤海及黄海海域2012年5景不同时相、不同云被特征条件下IRS卫星影像数据进行实例验证分析,与准同步的MODIS云检测产品(MOD35)进行比对检验,发现该业务化算法具有不同时相条件下的普适性,能够有效检测全部的厚云、冷云及大部分的薄云。算法高效准确,适于业务化的应用。 Visible - Infrared remote sensing means its own shortcomings, making the presence of clouds directly affect the accuracy of satellite remote sensing quantitative products under the ocean background. At present, there is no report on a convenient cloud detection method for the operational operation of the InfraRed Scanner (IRS) sensor of the HJ-1B satellite infrared camera. According to the band characteristics of HJ-1B satellite IRS sensor, the reflection and emission characteristics of cloud and ocean underlying surface are analyzed, and a service-oriented ocean background satellite image cloud detection method is proposed. In this paper, the IRS satellite image data of five different scenes and different clouds in the Bohai Sea and the Yellow Sea in 2012 were validated and compared with the quasi-synchronous MODIS cloud detection product (MOD35). It is found that the operational algorithm has The universality under different phase conditions can effectively detect all the thick clouds, cold clouds and most of the thin clouds. Algorithm efficient and accurate, suitable for business applications.