| 基于神经网络的遥感影像超高分辨率目标识别 |
| |
| 引用本文： | 焦云清,王世新,周艺,扶卿华.基于神经网络的遥感影像超高分辨率目标识别[J].系统仿真学报,2007,19(14):3223-3225. |
| |
| 作者姓名： | 焦云清 王世新 周艺 扶卿华 |
| |
| 作者单位： | 中国科学院遥感应用研究所,北京,100101 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划);国家自然科学基金 |
| |
| 摘 要： | 现有遥感图像的许多分类方法大都忽略了混合像元存在的事实,通过理解遥感影像像元点目标的空间分布特性,提出基于Hopfield神经网络的遥感图像超分辨率目标识别算法。在Hopfield神经网络模型下,利用模糊分类技术进行模糊分类,然后用分类结果约束Hopfield神经网络的方法获取超高分辨率的遥感图像,能够提高遥感图像的目标分辨率,使其目标特征信息更清晰。
|
| 关 键 词： | 混合像元 神经网络 超高分辨率 MODIS数据 |
| 文章编号： | 1004-731X（2007）14-3223-03 |
| 收稿时间： | 2006-06-05 |
| 修稿时间： | 2006-06-052006-10-19 |
Super-resolution Target Identification from Remotely Sensed Imagery Using Hopfield Neural Network |
| |
| JIAO Yun-qing,WANG Shi-xin,ZHOU Yi,FU Qing-hua.Super-resolution Target Identification from Remotely Sensed Imagery Using Hopfield Neural Network[J].Journal of System Simulation,2007,19(14):3223-3225. |
| |
| Authors: | JIAO Yun-qing WANG Shi-xin ZHOU Yi FU Qing-hua |
| |
| Institution: | Institute of Remote sensing Applications, Chinese Academy of Science, Beijing 100101,china |
| |
| Abstract: | A remote sensing image super resolution object recognition algorithm based on Hopfield Neural Networks was proposed. Fuzzy classification technology is used for classification, Then the result is used to restrict Hopfield Neural Networks. When there are only few learning samples, Hopfield Nerve Net can also output object information with higher resolution. Therefore, this remote sensing image processing approach can enhance the object resolution of remote sensing image and make the object character characteristic more in focus. |
| |
| Keywords: | unmixing neural networks super resolution MODIS data |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
