| 遥感图像分类的LMBP核函数改进算法 |
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| 引用本文： | 徐倩,何建农.遥感图像分类的LMBP核函数改进算法[J].中国图象图形学报,2011,16(12):2206-2210. |
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| 作者姓名： | 徐倩 何建农 |
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| 作者单位： | 福州大学数学与计算机科学学院,福州 350002;福州大学数学与计算机科学学院,福州 350002 |
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| 基金项目： | 国家自然科学基金项目(50877010)。 |
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| 摘 要： | 在核函数的基础上采用向量扩展的方法改进传统的LMBP算法,将输入向量由低维转换到高维,充分利用误差函数的一二阶导数信息,同时结合传统LMBP算法的优点提高网络训练的收敛速度。仿真实验结果表明,改进方法网络训练的迭代次数更少,分类精度更高,对遥感图像分类更有效。
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| 关 键 词： | 核函数 LMBP算法 遥感图像分类 |
| 收稿时间： | 2010/12/23 0:00:00 |
| 修稿时间： | 2011/2/21 0:00:00 |
LMBP algorithm of remote sensing image classification improved by kernel functions |
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| Xu Qian and He Jiannong.LMBP algorithm of remote sensing image classification improved by kernel functions[J].Journal of Image and Graphics,2011,16(12):2206-2210. |
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| Authors: | Xu Qian and He Jiannong |
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| Affiliation: | Dept. of Mathematics, Mathematics and Computer Science Institute, Fuzhou University, Fuzhou 350002 China;Dept. of Mathematics, Mathematics and Computer Science Institute, Fuzhou University, Fuzhou 350002 China |
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| Abstract: | This paper improves the traditional LMBP algorithm of remote sensing image classification by extending input vectors which have been changed from low dimension to high dimension with kernel function for full utilization of the first and second derivatives information of error function. Simultaneously, combined with the traditional advantages of the LMBP algorithm, it can accelerate the convergence of network training. The simulation results show that the improved method can be more effective in remote sensing image classification because it needs less iteration for network training and achieves higher classification accuracy. |
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| Keywords: | kernel function LMBP algorithm remote sensing image classification |
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