To improve the measurement angular resolution of star sensors while maintaining high update rates, the detector of four million pixels, parallel output data through multi⁃channels is chosen. The problem of star sensor’ s image processing based on this kind of detector is solved by designing a method of using marker to achieve extraction of star centroid fast and efficiently. Algorithm is divided into markers calculation of multi⁃channel and target processing of channel boundary:markers calculation of multi⁃channel is mainly to solve the problem of image processing within the channel, while among channels using parallel processing method;target processing of channel boundary is mainly to solve the target cross border splicing problem. In the high frequency clock is 100 MHz, under the condition of using the FPGA implementation algorithm based on level 4 lines parallel processing architecture, and the actual test validation. The validation results show that the algorithm can quickly and correctly extracts as target point on the surface of the detector. Accuracy of positioning extraction of single star is better than 1/172 pixel, update rates is better than 9.5 Hz, which meets the requirement of the star sensor accuracy and high update rates.%为提高星敏感器测量角分辨率，同时保持高数据更新率，选用四百万门像素、多通道数据并行输出的光电探测器．为解决基于该类探测器的星敏感器图像处理问题，实现快速有效的提取星点质心，设计了一种采用标记的图像处理算法．算法分为多通道标记计算方法和通道边界的目标处理：多通道标记计算方法主要解决通道内的图像处理问题，各通道间并行处理；通道边界的目标处理主要解决当目标跨边界时的拼接问题．在时钟为100 MHz的高频率工况下，采用FPGA基于四级流水线并行处理体系结构实现算法，并实际测试验证．验证结果表明，算法可快速、正确地提取探测器像面上的目标点，提取的星点单星定位精度优于1／172像素，数据更新率优于9．5 Hz，满足星敏感器高精度、高数据更新率要求．
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