| 利用频谱能量进行高分辨率遥感图像地物识别 |
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| 引用本文： | 吴桂平,肖鹏峰,冯学智,王珂.利用频谱能量进行高分辨率遥感图像地物识别[J].武汉大学学报(信息科学版),2011,36(11). |
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| 作者姓名： | 吴桂平 肖鹏峰 冯学智 王珂 |
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| 作者单位： | 南京大学地理信息科学系,南京市汉口路22号,210093 |
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| 基金项目： | 国家高技术研究发展计划资助项目(2008AA12Z106); 国家自然科学基金资助项目(40801166,40771137) |
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| 摘 要： | 提出了一种基于频谱能量的高分辨率遥感图像地物识别方法。首先将预处理后的典型地物的遥感图像通过傅立叶变换从空间域转变到频率域,然后用位于频谱中心的一个矩形窗口提取频谱图上对能量贡献起主导作用的低阶频谱能量系数作为目标识别的主要特征值,并利用该特征值结合SVM分类方法对目标地物样本进行识别和分类。研究结果表明,每种地物样本均获得了较高的识别结果,总体精度达到了88.96%。
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| 关 键 词： | 地物识别 特征提取 频谱能量 |
Object Recognition for High-resolution Remotely Sensed Imagery Based on Energy in Frequency Domain |
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| WU Guiping XIAO Pengfeng FENG Xuezhi WANG Ke.Object Recognition for High-resolution Remotely Sensed Imagery Based on Energy in Frequency Domain[J].Geomatics and Information Science of Wuhan University,2011,36(11). |
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| Authors: | WU Guiping XIAO Pengfeng FENG Xuezhi WANG Ke |
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| Institution: | WU Guiping1 XIAO Pengfeng1 FENG Xuezhi1 WANG Ke1(1 Department of Geographical Information Sciences,Nanjing University,22 Hankou Road,Nanjing 210093,China) |
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| Abstract: | An object recognition method for high-resolution remotely sensed imagery based on energy in frequency domain was proposed.Firstly,the pre-processed remote sensing images of typical objects were transformed from spatial domain into frequency domain by using the two-dimensional fast Fourier transform processing.Then the selected coefficients were composed feature vectors and sent into SVM(support vector machine) for training.Finally,SVM was used for recognition for test samples of typical objects,and the effe... |
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| Keywords: | object recognition feature extraction energy in frequency domain |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
