Application of Object-Oriented Approach to SPOT5 Image Classification:A Case Study in Haidian District,Beijing City
Application of Object-Oriented Approach to SPOT5 Image Classification:A Case Study in Haidian District,Beijing City
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发表时间：
2006
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通讯作者：
Qiu Yun-feng
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作者：
Qiu Yun-feng
SPOT5图像以其相对较高的分辨率和低廉的价格被广泛应用于城市规划、土地利用调查、环境管理、公安等领域。由于SPOT5图像分辨率较高、局部异质性较大，经典的基于像素的分类方法整体精度较低，不能满足实际应用需求。本文将面向对象的方法引入SPOT5图像分类中，并阐述了面向对象方法在高分辨率图像分类中的应用的一般方法和工作流程。以北京市为试验区,对面向对象方法的SPOT5图像分类进行了案例研究。为了验证面向对象分类的准确性,将该方法与经典分类方法进行了比较。案例研究表明,应用面向对象方法进行SPOT5图像分类不仅可以获得更多的语义信息,有效减少“椒盐现象”,而且可以提高SPOT5图像的整体分类精度。
SPOT5 image is widely used in urban planning,investigation of land utilization,environmental management,public security etc.for its relatively high-resolution and cheap price.Classical classification approaches based on pixels have a low overall accuracy and can not satisfy the application demand in reality due to SPOT5 image having higher resolution and more local heterogeneity.In this paper,object-oriented approach is introduced into SPOT5 image classification.And a general approach and workflow are illustrated on applications of object-oriented approach for high-resolution image classification.Taking Haidian District,Beijing City as the test area,a case study on SPOT5 image classification with object-oriented approach is carried out.In order to verify the accuracy of object-oriented classification,a comparison between this approach and classical classification approaches has been carried out.The case study shows that the application of object-oriented approach on SPOT5 image classification not only can have more semantic information,reduce the"Pepper and Salt Phenomenon"effectively,but also can improve the overall classification accuracy of SPOT5 image.