摘要
It is known that detecting small targets in remotely sensed image is difficult and challenging work. Filter neural network is designed to detect target which based morphological, structure element is used as network parameter, by competition and cooperation, network parameter is adjusted. Morphologic changed-weight neural network algorithm is used to realize small infrared target detection under complex background. Experimental results of using the above detector to detect real infrared targets are also included. These results demonstrate that the new detector yields a promising solution for the detection problems of small targets.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | CIS 2009 - 2009 International Conference on Computational Intelligence and Security |
| 页 | 234-236 |
| 页数 | 3 |
| DOI | |
| 出版状态 | 已出版 - 2009 |
| 活动 | 2009 International Conference on Computational Intelligence and Security, CIS 2009 - Beijing, 中国 期限: 11 12月 2009 → 14 12月 2009 |
出版系列
| 姓名 | CIS 2009 - 2009 International Conference on Computational Intelligence and Security |
|---|---|
| 卷 | 1 |
会议
| 会议 | 2009 International Conference on Computational Intelligence and Security, CIS 2009 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 11/12/09 → 14/12/09 |
指纹
探究 'Image target detection using morphological neural network' 的科研主题。它们共同构成独一无二的指纹。引用此
Song, C. T., & Wang, K. Y. (2009). Image target detection using morphological neural network. 在 CIS 2009 - 2009 International Conference on Computational Intelligence and Security (页码 234-236). 文章 5376623 (CIS 2009 - 2009 International Conference on Computational Intelligence and Security; 卷 1). https://doi.org/10.1109/CIS.2009.259