| 加入不变矩的高分辨率遥感图像分类 |
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| 引用本文： | 徐海卿,李培军,沈毅.加入不变矩的高分辨率遥感图像分类[J].国土资源遥感,2008(2):9-14. |
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| 作者姓名： | 徐海卿 李培军 沈毅 |
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| 作者单位： | 北京大学地球与空间科学学院遥感与地理信息系统研究所,北京,100871 |
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| 摘 要： | 不变矩是表达图像几何形状信息的参数,具有几何变换的稳定性,在图像识别领域已经得到广泛应用。本文将3种常用的不变矩,即胡氏矩、Zern ike矩和小波矩,运用到高分辨率遥感图像分类中,并与只利用光谱信息的图像分类结果进行对比。结果表明,在高分辨率图像分类中加入不变矩图像可以显著提高分类精度,尤其是对那些具有相似光谱特征但同时具有不同形状和结构特征的地物分类更加有效。
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| 关 键 词： | 高分辨率遥感 图像分类 面向对象方法 不变矩 |
| 文章编号： | 1001-070X(2008)02-0009-05 |
| 修稿时间： | 2007年11月23 |
THE APPLICATION OF INVARIANT MOMENTS TO HIGH RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION |
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| XU Hai-qing,LI Pei-jun,SHEN Yi.THE APPLICATION OF INVARIANT MOMENTS TO HIGH RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION[J].Remote Sensing for Land & Resources,2008(2):9-14. |
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| Authors: | XU Hai-qing LI Pei-jun SHEN Yi |
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| Abstract: | Invariant moments represent a very important shape feature of the image.With their invariant function of geometric transformation,they have been widely used in the field of image analysis.In this paper,shape features extracted from images by using three types of commonly used invariant moments,namely Hu moments,Zernike moments and Wavelet moments,were applied to high resolution remote sensing image classification and compared with the image classification only utilizing spectral information.The results show that,when the shape features defined by invariant moments are included in high resolution image classification,accuracies significantly increase.Higher accuracies can be especially achieved for those classes which have similar spectral features but different structural and shape features. |
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| Keywords: | High resolution remote sensing Image classification Object-oriented approach Invariant moments |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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