| 基于CBERS影像的厦门环岛路沙滩信息提取研究 |
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| 引用本文： | 张明华,崔磊,候泽新.基于CBERS影像的厦门环岛路沙滩信息提取研究[J].厦门理工学院学报,2013(1):40-44. |
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| 作者姓名： | 张明华 崔磊 候泽新 |
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| 作者单位： | 厦门理工学院计算机与信息工程学院 |
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| 基金项目： | 国家科技支撑计划项目(2007BAH16B01) |
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| 摘 要： | 摘要]用传统的遥感图像分类法分类时，沙滩极易与建筑用地、未利用地产生混淆，分类精度不高．本研究以2009年的CBERS-02影像为数据源，在提取和分析主要地物光谱特征的基础上，通过图像分类、谱间关系和多重阈值法对厦门环岛路的沙滩信息提取方法进行了探讨，并基于ENVIIDL进行模型设计，较好地将沙滩与易于混淆的建筑用地信息区分开来，沙滩信息提取的总体精度提高到88．72％．
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| 关 键 词： | CBERS影像 沙滩 信息提取 厦门 |
Extracting Sandy Beach Information Along the Ring Road of Xiamen Based on CBERS Image |
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| ZHANG Ming-hua,CUI Lei,HOU Ze-xin.Extracting Sandy Beach Information Along the Ring Road of Xiamen Based on CBERS Image[J].Journal of Xiamen University of Technology,2013(1):40-44. |
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| Authors: | ZHANG Ming-hua CUI Lei HOU Ze-xin |
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| Institution: | (School of Computer & Information Engineering,Xiamen University of Technology,Xiamen 361024,China) |
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| Abstract: | Abstract： Sand-bench is easily confused with building land and unused land in traditional image classifications. Using CBERS-02 image in 2009 as a data source on the basis of extracting and investigating spectral characteristics, this paper studied the approach of information extraction of the sandy beach along the Ring Road of Xiamen with image classification, band spectral relationship and muhi-thresholds. The model was designed by combining a variety of methods based on ENVI IDL. The otherwise easily confused sand-bench information can be better separated form building land. The overall accuracy of extracting sandy-bench information improved to 88.72 percent. |
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| Keywords: | CBERS image sandy bench information extraction Xiamen |
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