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作 者:王高丹[1] 晏王波[2] 唐彦君[1] 徐盼[1]
机构地区:[1]河海大学地理信息科学与工程研究所,南京210098 [2]江苏省基础地理信息中心,南京210013
出 处:《科学技术与工程》2014年第31期14-18,41,共6页Science Technology and Engineering
基 金:国家自然科学基金(41201394))资助
摘 要:使用常规遥感图像处理方法提取江苏沿海辐射沙脊群地貌因子,需要大量的人工解译工作,费时费力效率较低。研究使用Model Builder建模工具构建沙脊群地貌因子的自动提取模型,实现了地貌信息的一站式实时提取,避免多次重复工作,能够快速有效地得到较为准确的地貌因子。依据辐射沙脊群水边线、沙脊中心线自动化提取算法,在模型中集成了遥感图像处理和GIS的数据转换与空间分析功能。使用三期Landsat TM影像进行了提取试验;并将结果与原影像、传统目视解译方法获得的地貌特征数据进行了比较验证。结果表明,该方法有较高的实用意义,在水边线、沙脊中心线信息提取速度快、精度较高。Conventional remote sensing image processing methods are often time-consuming and cumbersome in extracting geomorphologic factors of Jiangsu coastal radiate sand ridges group, meanwhile the extraction results has low accuracy. In this study, Model Builder tool is used to build a high-efficiency automatic geoprocessing model, which can be applied in performing the one-stop extraction of sand ridges geomorphology factors such as sand ridges boundaries and centerlines quickly and efficiently. Remote sensing and GIS operations are combined and integrated into the framework of the Model Builder tools to realize the automatic information extraction algorithms. Three his- torical remote sensing images are carried out in the thematic information extraction pilot study. The results show that the proposed methodology in this study is very practical, which have a higher efficiency and higher accuracy in sand ridges' boundaries and centerlines extraction.
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