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.
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)