| 微波后向散射数据改进农作物光谱分类精度研究 |
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| 作者姓名： | Jia K Li QZ Tian YC Wu BF Zhang FF Meng JH |
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| 作者单位： | 1. 中国科学院遥感应用研究所,北京,100101;中国科学院研究生院,北京100049
2. 中国科学院遥感应用研究所,北京,100101 |
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| 基金项目： | 中国科学院知识创新工程重大项目(KSCX1-YW-09); 国家科技支撑计划项目(2008BADA8B02); 国家(863计划)项目(2009AA12Z1462); 国家自然科学基金项目(40801144)资助 |
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| 摘 要： | 利用实验区环境星多光谱数据与Envisat ASAR VV极化数据进行融合.讨论了VV极化微波后向散射数据用于改善多光谱遥感数据农作物分类的精度,并比较了不同分类方法的分类精度.结果表明,两种数据之间的融合充分利用了环境星数据的光谱信息和VV极化数据对于地物结构敏感的特征,不但增强了不同地物之间的光谱差异,而且提高了作...
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| 关 键 词： | 光谱 后向散射 遥感 融合 农作物 |
Accuracy improvement of spectral classification of crop using microwave backscatter data |
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| Jia K,Li QZ,Tian YC,Wu BF,Zhang FF,Meng JH.Accuracy improvement of spectral classification of crop using microwave backscatter data[J].Spectroscopy and Spectral Analysis,2011,31(2):483-487. |
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| Authors: | Jia Kun Li Qiang-Zi Tian Yi-Chen Wu Bing-Fang Zhang Fei-Fei Meng Ji-Hua |
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| Institution: | JIA Kun1,2,LI Qiang-zi1,TIAN Yi-chen1,WU Bing-fang1,ZHANG Fei-fei1,MENG Ji-hua1 1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China 2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China |
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| Abstract: | In the present study,VV polarization microwave backscatter data used for improving accuracies of spectral classification of crop is investigated.Classification accuracy using different classifiers based on the fusion data of HJ satellite multi-spectral and Envisat ASAR VV backscatter data are compared.The results indicate that fusion data can take full advantage of spectral information of HJ multi-spectral data and the structure sensitivity feature of ASAR VV polarization data.The fusion data enlarges the s... |
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| Keywords: | Spectra Backscatter Remote sensing Fusion Crop |
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