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面向对象方法在Quick Bird影像分类中的应用研究 被引量:1

Application of Object-oriented Method in Quick Bird Image Classification
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摘要 选取Quick Bird影像,以目视判读法作为精读评价的参考标准,对基于像元值的监督分类和非监督分类法、面向对象分类法进行了分析比较。结果表明,使用面向对象方法能显著提高Quick Bird影像分类精度。 With the visual interpretation method as the reference standards for intensive evaluation,the pixel value-based supervised method,non-supervised method and object-oriented method for the Quick Bird image classification were compared.The result indicated that the object-oriented method could significantly improve the classificaticn precision of Quick Bird image.
机构地区 西南林业大学
出处 《安徽农业科学》 CAS 北大核心 2011年第10期6099-6101,共3页 Journal of Anhui Agricultural Sciences
基金 西南林学院国家林业局森林经理学重点学科项目(XKZ2-00901)
关键词 Quick BIRD 分类 面向对象 多尺度分割 决策树 Quick Bird Classfication Object-oriented Muti-scale segmentation Decision tree
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