Effect of prior probabilities on maximum likelihood classifier
文献类型：会议论文
| 作者 | Zheng M. G. ; Cai Q. G. ; Wang Z. J. ; Ieee |
| 出版日期 | 2005 |
| 关键词 | prior probabilities maximum likelihood classifier remote sensing classification Bayesian rule remotely-sensed data classifications accuracy |
| 页码 | 3753-3756 |
| 英文摘要 | Maximum likelihood classifier is widely used in remote sensing. Many researches have indicated that using prior probabilities call make Maximum likelihood classifier perform better, but it is not true that all individual classes will have higher classification accuracy after prior probabilities are incorporated in MLC. In the present paper, the theoretical analysis about the effect of prior probability on maximum likelihood classifier is given first, including the effect on the discrimination process and classification result. Then a case study is carried out by one approach in which prior probabilities are iteratively modified by using the relative area proportion derived from the last classification as prior probabilities in next classification. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 0-7803-9050-4 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25420]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zheng M. G.,Cai Q. G.,Wang Z. J.,et al. Effect of prior probabilities on maximum likelihood classifier[C]. 见:. |
入库方式： OAI收割
来源：地理科学与资源研究所
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