| 北京1号小卫星图像噪声评估 |
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| 引用本文： | 陈正超.北京1号小卫星图像噪声评估[J].遥感学报,2009(3):554-558. |
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| 作者姓名： | 陈正超 |
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| 作者单位： | 4. 中国科学院 对地观测与数字地球科学中心, 北京 100190 |
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| 基金项目： | 北京市科技计划项目(编号: Z08000102010801)和国家科技支撑计划项目(编号: 2007BAH151303)。 |
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| 摘 要： | 从理论和试验方面对图像的噪声评估方法进行了分析。结合北京1号小卫星特性, 进行了该类方法应用效能的评价, 讨论了分块评估噪声方法的最佳参数设置。选取满足噪声评估环境的图像, 实现了综合不同地表覆盖条件的北京1号小卫星图像噪声的评估。噪声评估结果与在轨测试情况的对比表明, 北京1号小卫星经过近3年的运行, 仍保持了较好的性能。
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| 关 键 词： | 噪声评估 北京1号小卫星 噪声标准差 |
| 收稿时间： | 9/5/2008 12:00:00 AM |
Image-based nNoise e estimation of of Beijing-1 small satellite |
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| CHEN Zheng-chao.Image-based nNoise e estimation of of Beijing-1 small satellite[J].Journal of Remote Sensing,2009(3):554-558. |
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| Authors: | CHEN Zheng-chao |
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| Institution: | 1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | In this paper, the P-SVM algorithm was introduced into multi-spectral/high-spatial resolution remotely sensed data classification and it is applied to classification of ASTER satellite data and ADS40 aerial digital data. The experiments indicate that the P-SVM is at least competitive with the standard SVM algorithm in classification accuracy of remotely sensed data and the time needed is less. |
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| Keywords: | SVM P-SVM multi-spectral/high-spatial resolution remotely sensed data classification |
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