基于遥感影像提取海岸线方法的研究——以黄河三角洲地区黄河口段和刁口段海岸为例  

Study on Method of Coastline Extraction from Remote Sensing——Taking Yellow River Mouth Reach and Diaokou Reach of Yellow River Delta Area as an Example

作　　者：樊彦国[1] 张淑芹[1] 侯春玲[1] 张磊[1] 

机构地区：[1]中国石油大学(华东)地球资源与信息学院,青岛266555

出　　处：《遥感信息》2009年第4期67-70,74,共5页Remote Sensing Information

基　　金：山东省科技攻关项目(2008GG10009018);山东省科技计划项目(J08LD55)

摘　　要：根据黄河三角洲地区不同类型的海岸线在遥感影像上的不同特征,对其遥感影像采用二值化、高通滤波、缨帽变换及非监督分类等方法进行图像增强处理,应用此方法准确地提取了黄河三角洲地区黄河口段和刁口段海岸的海岸线。The paper adopted many methods to carry out image enhancement processing in remote sensing image based on different types of coastline have different characteristics in image, such as binarization, high-pass filtering, tasseled cap trans- formation and unsupervised classification, and so on. The coastline of yellow river mouth reach and diaokou reach of yellow river delta area were accurately extracted by this method.

关 键 词：遥感影像 海岸线 缨帽变换 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]