摘要
准确提取河道变化信息可以为堤坝等防洪减灾设施建设提供数据支持。该文采用主成分分析与小波变换相结合的方法,对黄河下游花园口段的ETM遥感影像进行融合增强处理,而后利用面向对象的方法提取河道信息。对冬季、春季、夏季与秋季4期遥感影像分别进行处理,并结合GIS空间分析功能,选取河道水面面积、平均河面宽、心洲面积及心洲数量4个指标对区域内河道进行季节性变化分析。研究结果表明,利用遥感方法结合GIS空间分析功能可以直观准确地监测黄河下游河道的空间格局变化。
Accurately extracting the riverway information could provide the basis for dam construction, flood prevention projects and disaster reduction facilities. Taking Hnayuankou section in the lower reaches of the Yellow River as the study area, the authors enhanced the remote sensing images based on an improved fusion method that combines PCA transformation with wavelet transformation. Then the riverway information of four- period images consisting of winter, spring, summer and autumn was extracted using the object - oriented method. The seasonal variations in the river area, the mean river channel width, the river island area and the amount were comparatively studied under the support of GIS. The results show that the integrated remote sensing technique and GIS could directly monitor the seasonal variation characteristics of riverbed with ~nnd nr^t,i^inn
出处
《国土资源遥感》
CSCD
北大核心
2014年第1期13-16,共4页
Remote Sensing for Land & Resources
基金
国家重点基础研究发展计划项目(编号:2013CB430401)
国家水体污染控制与治理科技重大专项(编号:2012ZX07207-004)共同资助
关键词
面向对象
河道
季节变化
遥感
object- oriented method
riverway information
seasonal variation
remote sensing
