| 基于MERSI和ETM＋遥感图像融合的湿地苇田识别研究 |
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| 引用本文： | 张俊利,李国春. 基于MERSI和ETM＋遥感图像融合的湿地苇田识别研究[J]. 现代农业科技, 2009, 0(12): 257-259,261 |
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| 作者姓名： | 张俊利 李国春 |
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| 作者单位： | 沈阳农业大学应用气象系,辽宁沈阳,110161 |
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| 基金项目： | 中国气象局工程建设项目“东北湿地遥感监测应用示范系统及其关键技术”(FiDAF-2-06) |
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| 摘 要： | 采用Gram—Schmidt变换和像素级融合方法，将不同空间分辨率的MERSI影像与ETM＋影像进行融合，用于识别盘锦湿地苇田，并对融合结果进行了主观和客观评价。结果表明：采用Gram-Schmidt变换融合方法保留了MERSI影像的多光谱特性。提高了影像的空间细节。对空间分辨率之比（达1：9）较高的影像融合进行了分析，能够满足湿地苇田识别的应用目的。
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| 关 键 词： | 遥感数据融合 MERSI ETM+ Gram-Schmidt变换 湿地 |
Study of identifying wetland reed field based on the fusion of MERSI and ETM+ remote sensing image |
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| ZHANG Jun-li,LI Guo-chun. Study of identifying wetland reed field based on the fusion of MERSI and ETM+ remote sensing image[J]. Modern Agricultural Sciences and Technology, 2009, 0(12): 257-259,261 |
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| Authors: | ZHANG Jun-li LI Guo-chun |
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| Affiliation: | Applied Meteorology Department;Shenyang Agricultural University;Shenyang Liaoning 110161 |
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| Abstract: | Based on Gram-Schmidt transformation and pixel-level fusion method and the fusion of MERSI and ETM+ RS images was used to identify the wetland reed field,and the fusion result was evaluated with the subjective and objective evaluation method.The result showed that Gram-Schmidt transformation reserved the multi-spectral of MERSI image and increases the details.The image fusion whose spatial resolution index was much higher(1∶9) analysied.Which could achieves the aim of application to identify wetland reed field. |
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| Keywords: | remote sensing data fusion MERSI ETM+ Gram-Schmidt transformation wetland |
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