景观破碎化区域土地覆被面向对象分类研究——以皖南山区为例  

Study on land-cover classification using object-oriented method in landscape fragmentation zone: in the mountainous region of southern Anhui

作　　者：刘桂林[1,2] 张落成[1] 赵金丽[1,2] 

机构地区：[1]中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,南京210008 [2]中国科学院大学,北京100049

出　　处：《中国科学院大学学报（中英文）》2014年第5期626-631,共6页Journal of University of Chinese Academy of Sciences

基　　金：国家自然科学基金(41130750);国家海洋公益专项(201005009-13);中国科学院重点部署项目(KZZD-EW-10-04-2);中国科学院南京地理与湖泊研究所135项目(NIGLAS2012135006)资助

摘　　要：以景观破碎化的皖南山区为试验靶区,基于2009年4期的Landsat 5 TM与HJ-1/CCD遥感影像,结合野外调查数据,分析土地覆被类型在影像上的特征,挖掘出相应的光谱、纹理、空间及时相等信息,获取相关特征波段.基于See 5.0软件,根据训练样本筛选特征波段及组合并获取最佳阈值.基于面向对象分类软件,对TM影像进行尺度10、30的2级分割,参照最佳特征波段及阈值建立规则集并获取分类数据.结果表明:基于面向对象的多时相分类法能精确地获取土地覆被数据,精度均高于92%,其在以皖南山区为代表的景观破碎化区域适用性较高.Landsat 5 TM and H J-1 CCD images in 2009 were selected for land-cover classification in mountainous region of southern Anhui. Combining with field survey data, we analyzed land-cover characteristics to dig out spectrum, texture, spatial and temporal information, and obtained the feature bands of the corresponding land-cover types. Using See 5.0 software, we oltained the optimal feature bands and thresholds of land-cover types based on training samples. The rule sets of land-cover classification were established using eCognition Developer 8.64 software. The results showed that, by using the object-oriented classificationmethod based on multi-temporal remote sensing images, the land-cover classification with accuracies higher than 92% was acquired. This method is suitable for land-cover classification in the mountainous region of southern Anhui.

关 键 词：多时相遥感影像 面向对象分类 破碎化 皖南山区 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]