| 面向对象的高空间分辨率影像分类研究 |
| |
| 引用本文： | 张俊,王宝山,张志强.面向对象的高空间分辨率影像分类研究[J].测绘信息与工程,2010,35(3):3-5. |
| |
| 作者姓名： | 张俊 王宝山 张志强 |
| |
| 作者单位： | 国家测绘局第三地形测量队,哈尔滨南岗区绘测路2号150081 |
| |
| 基金项目： | 国家自然科学基金，国家自然科学基金 |
| |
| 摘 要： | 采用面向对象遥感影像分类方法,进行了高空间分辨率遥感影像信息提取试验,分析了其与基于像元方法的信息提取结果的差异,试验研究表明,在目视效果上,传统方法的分类结果图中椒盐现象非常明显,而面向对象方法可以有效地避免椒盐现象;在分类精度上,面向对象方法分类结果的总体精度、Kappa系数、生产者精度、用户精度、Hellden精度和Short精度均明显高于传统方法,各类地物提取效果显著提高。面向对象方法在高空间分辨率遥感影像信息提取中具有明显的优势。
|
| 关 键 词： | 面向对象 多尺度分割 最优尺度 |
HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION BASED ON OBJECT-ORIENTED MULTI-FEATURES |
| |
| ZHANG Jun,WANG Baoshan,ZHANG Zhiqiang.HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION BASED ON OBJECT-ORIENTED MULTI-FEATURES[J].Journal of Geomatics,2010,35(3):3-5. |
| |
| Authors: | ZHANG Jun WANG Baoshan ZHANG Zhiqiang |
| |
| Institution: | (3 Topographic Survey Team of SBSM,2 Ceihui Road Nangang District,Hrbin 150081,China) |
| |
| Abstract: | The object-oriented classification method was used to extract land use/land cover information from high spatial resolution remote sensing images,and the results were compared with the traditional information extraction method.The classification results were easier to understand and interpretative.Overall precision,Kappa,producer precision,user precision,Hellden precision and Short precision of object-oriented classification are better than that of traditional classification method.These experiments show that the object-oriented method is superior to traditional method in high resolution remote sensing information extraction. |
| |
| Keywords: | object-oriented multi-scale segmentation optimal scale |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
