A new method of parallel SAR image classification | |
Xue, Xiaorong ; Zeng, Qiming ; Zhang, Shuyi | |
2005 | |
英文摘要 | SAR image classification is a key step in SAR image interpretation, but for the existing of speckle in SAR image, SAR image can't be classified well with traditional methods. At the same time, it usually takes long time to classify SAR image due to vast calculation. In this paper, based on the feature of SAR image and the advantage of parallel computing in high performance computing, a new method of parallel SAR image classification is proposed. In the paper, the features in spatial domain and in frequency domain are combined, features in the both domain are calculated in the parallel computing environment, and finally SAR image is classified according to all feature vectors recalled from all the processes. The experiment results show that good result of classification can be obtained quickly with the method. ? 2005 IEEE.; EI; 0 |
语种 | 英语 |
出处 | EI |
内容类型 | 其他 |
源URL | [http://hdl.handle.net/20.500.11897/328252] |
专题 | 数学科学学院 地球与空间科学学院 |
推荐引用方式 GB/T 7714 | Xue, Xiaorong,Zeng, Qiming,Zhang, Shuyi. A new method of parallel SAR image classification. 2005-01-01. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论