遥感图像的实时云判技术

通过提取多种特征,采用最小距离分类方法,对卫星遥感图像中的基本图像单元进行云图和地物的区分,算法复杂度小,正确识别率达到90%.以分幅为单位设计剔除规则,将大块云图数据进行剔除.使用高速信号处理手段,将算法移植到数字信号处理器(DSP)板卡中,使其能够充分有效地利用通用DSP系统丰富的计算资源,实时完成云判算法和剔除功能.系统在某地面站接收系统中获得应用,性能指标达到要求,提高了地面站系统的信息处理能力和自动化程度.

Real-Time Cloud Detection in Optical Remote Sensing Image

For the purpose of discrimination between cloud area and earth object in satellite remote sensing image,a pattern recognition approach comprising multi-feature extraction and minimum distance classification is proposed.For fundamental image block,its distinguishing rate is more than 90% with low computational complexity.The deletion rule in frame-partition is determined to remove large volumes of cloud area from the image data.Combining parallel DSP architecture,the proposed algorithm can fulfill the tasks ...