| 基于多特征的人工海岸线提取方法 |
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| 引用本文： | 高燕,周成虎,苏奋振,王寒.基于多特征的人工海岸线提取方法[J].测绘工程,2014(5):1-5. |
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| 作者姓名： | 高燕 周成虎 苏奋振 王寒 |
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| 作者单位： | [1]信息工程大学地理空间信息学院,河南郑州450052 [2]中国科学院地理科学与资源研究所,北京100101 [3]中国天绘卫星中心,北京102102 [4]中国南海研究协同创新中心,江苏南京210023 [5]65651部队,辽宁锦州121115 |
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| 基金项目： | 国家863计划重大项目课题（2012AA12A406）;国家自然科学基金资助项目（41271409） |
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| 摘 要： | 在中高分辨率的遥感影像中,海岸地物呈现出更多的细节,尤其是受人类影响程度较大的人工海岸。文中针对较为复杂的人工海岸遥感影像,进行基于多特征的海岸线提取方法研究。实验选用SPOT影像作为实验影像,分析实验区海岸带SPOT影像的光谱特征、形状特征和空间关系特征,使用多种特征来提取海岸线,实验结果表明,方法能对海岸带地物进行正确分类并实现海岸线的自动提取。
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| 关 键 词： | 海岸线 自动提取 面向对象 分类 多特征 |
Coastline extraction from remote sensing images based on multi-features approach |
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| GAO Yan,ZHOU Cheng-hu,SU Fen-zhen,WANG Han.Coastline extraction from remote sensing images based on multi-features approach[J].Engineering of Surveying and Mapping,2014(5):1-5. |
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| Authors: | GAO Yan ZHOU Cheng-hu SU Fen-zhen WANG Han |
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| Institution: | 1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 40052,Chinas2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101 ,Chinas3. TH-Satellite Center of China, Beijing 102102,Chinas4. Collaborative Innovation Center of South China Sea Studies, Nanjing 210023,China; 5. Troops 65651,Jinzhou 121115,China) |
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| Abstract: | Coastal features show more details in medium-high resolution remote sensing images, especially the artificial coast which is influenced greatly by human beings. A remote sensing image of complex artificial coast is studied in multi-features ways. An experimental image of SPOT is analyzed by spectral, shape and spatial relations feature extracting. The experimental results show that this method can classify the features of the coastal zone correctly and can extract the coastline in an intelligent way. |
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| Keywords: | coastline auto-extraction obj ect-oriented classification multi-feature |
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