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| 图谱迭代反馈的自适应水体信息提取方法 | |
| 引用本文： | 胡晓东,骆剑承,夏列钢,沈占锋,朱长明,乔程.图谱迭代反馈的自适应水体信息提取方法[J].测绘学报,2011,40(5):544-550. |
| 作者姓名： | 胡晓东 骆剑承 夏列钢 沈占锋 朱长明 乔程 |
| 作者单位： | 1. 中国科学院遥感应用研究所,北京100101／中国科学院研究生院,北京100049 2. 中国科学院遥感应用研究所,北京,100101 3. 浙江工业大学软件学院,浙江杭州,310023 |
| 基金项目： | 国家自然科学基金(40871203;40971228);国家863计划(2009AA12Z148);水体污染控制与治理科技重大专项(2009ZX07318-001) |
| 摘 要： | 提出图谱迭代反馈模型，结合空间聚合图特征和非线性谱映射结果的优点，设计图谱迭代反馈机制，并通过自适应信息计算方法自动地调整提取参数，逐步地计算逼近正确的专题区域边界。结合水体提取案例，在分析当前较为有效的水体提取方法基础上，选取ETM影像作为数据源，提出图谱迭代反馈的自适应水体信息提取（WERSTP）理论与方法。试验比较表明，该方法能充分结合基于指数和基于光谱分类提取方法的优势并成功融入水体空间分布特征，获得较好的提取效果。 |
| 关 键 词： | 水体信息提取 空间聚合图 谱特征映射 迭代计算 遥感图谱信息 |
Adaptive Water Body Information Extraction Using RS TUPU Computing Model |
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| HU Xiaodong,LUO Jiancheng,XIA Liegang,SHEN Zhanfeng,ZHU Changming,QIAO Cheng.Adaptive Water Body Information Extraction Using RS TUPU Computing Model[J].Acta Geodaetica et Cartographica Sinica,2011,40(5):544-550. | |
| Authors: | HU Xiaodong LUO Jiancheng XIA Liegang SHEN Zhanfeng ZHU Changming QIAO Cheng |
| Institution: | 1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;2.Software College,Zhejiang University of Technology,Hangzhou 310023,China;3.Graduated University,Chinese Academy of Sciences,Beijing 100049,China |
| Abstract: | A RS TUPU computing mechanism is designed,considering the advantages of the features of spatial clustered layer and non-linear spectral mapping layer,which aims to approach the accurate regional boundary of thematic area step by step.Meanwhile,extraction parameters in the process are adjusted automatically by adaptive information computing method.Subsequently,the RS TUPU computing model is proposed,which will be applied in water body extraction.The existing valid methods for water body extraction are analyzed first.On this basis,an adaptive water body extraction method using RS TUPU computing model(WERSTP) is proposed,where ETM image is selected as experimental data source.WERSTP combines with the advantages of methods based on index computing and spectral classification,and the experimental results show that this method obtains an effective extraction result to make it achieve the level of accuracy and automation in water body information extraction. |
| Keywords: | water body information extraction spatial clustered structure spectral feature mapping iterative computing RS TUPU information |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |