| 基于Bayes融合法的多源遥感影像分类 |
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| 引用本文： | 贾永红,李德仁.基于Bayes融合法的多源遥感影像分类[J].武汉大学学报(信息科学版),1997(3). |
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| 作者姓名： | 贾永红 李德仁 |
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| 作者单位： | 武汉测绘科技大学信息工程学院 |
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| 基金项目： | 测绘遥感信息工程国家重点实验室开放研究基金 |
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| 摘 要： | 提出了顾及各数据源成像模型、上下文关系模型和可靠性的基于Ｂａｙｅｓ融合分类的方法，并采用该方法对ＬａｎｄｓａｔＴＭ和航空ＳＡＲ影像进行土地利用分类试验。结果表明：同单独ＳＡＲ影像分类结果相比，融合分类法将分类精度提高了２０％。
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| 关 键 词： | Bayes融合法 自回归随机场 上下文信息 多源遥感影像分类 |
Multisource Classification of Remotely Sensed Data Based on Bayesian Data Fusion Method |
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| Jia Yonghong,Li Deren.Multisource Classification of Remotely Sensed Data Based on Bayesian Data Fusion Method[J].Geomatics and Information Science of Wuhan University,1997(3). |
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| Authors: | Jia Yonghong Li Deren |
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| Abstract: | In this paper, a new method for classification of multisource data is proposed. The images formation model, contextual model and reliability factors are taken into account in the method. The performance of the method is evaluated by fusing Landsat TM images and SAR image for land use classification. Significant improvements in classification accuracy compared to the SAR image classifier are obtained. So it is an effective and robust method for multisource classification of remotly sensed data. |
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| Keywords: | Bayesian fusion method autoregressive random field contextual information multisource classification of remotely sensed data |
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