Ship Recognition from High Resolution Remote Sensing Imagery Aided by Spatial Relationship
Target recognition is of great importance for information extraction from high resolution remote sensing image. As an important kind of man-made objects, ship recognition is a key point to many applications, such as vessel monitoring and marine traffic. As spatial relationship is invariant to topology change, a method of ship recognition from high resolution remote sensing imagery aided by spatial relationship is proposed and implemented. The method includes four critical steps: water segmentation, potential ship detection, seed growing and result creation. Experiments show that this method is robust to object position, orientation, scale, and intensity, and achieve a high accuracy of ship recognition.
Ship Recognition Spatial Relationship High Resolution Remote Sensing
Wei Wu Jiancheng Luo Cheng Qiao Zhanfeng Shen
Institute of Remote Sensing Application,Chinese Academy of Sciences Beijing,China 100101
国际会议
福州
英文
567-569
2011-06-29(万方平台首次上网日期,不代表论文的发表时间)