| 基于高分辨率影像的近海养殖区的一种自动提取方法 |
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| 引用本文： | 卢业伟,李强子,杜鑫,王红岩,刘吉磊.基于高分辨率影像的近海养殖区的一种自动提取方法[J].遥感技术与应用,2015,30(3):486-494. |
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| 作者姓名： | 卢业伟 李强子 杜鑫 王红岩 刘吉磊 |
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| 作者单位： | (1.中国科学院遥感与数字地球研究所再生资源研究室,北京 100101;
2.中国矿业大学(北京),北京 100083;
3.中国科学院大学,北京 100049) |
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| 基金项目： | 高分辨率对地观测系统重大专项(01\|Y30A03\|9001\|12/13)。 |
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| 摘 要： | 近海养殖调查在海岸带资源开发利用规划、环境保护与沿岸海上交通规划中处于重要地位。利用遥感技术开展近海养殖调查与分析,是当前的海岸带与湿地遥感的热点方向之一。以福建省宁德市三都澳海区为实验区,在分析近海养殖的渔排和海带/紫菜养殖区光谱特征的基础上,建立用于近海养殖区快速检测的光谱特征指数,在此基础上利用统计均值纹理与阈值检测算法,并结合近海养殖区的几何形状判断,实现了不同类型近海养殖区的高精度自动提取。实验结果表明:该方法能够快速准确地监测不同类型养殖区的分布情况,总体检测精度达到90%以上,可以为管理部门科学地规划管理海岸带养殖区提供有效的信息支持和辅助决策分析。
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| 关 键 词： | 遥感 近海养殖 指数 纹理 |
| 收稿时间： | 2014-01-20 |
A Method of Coastal Aquaculture Area Automatic Extraction with High Spatial Resolution Images |
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| Lu Yewei,Li Qiangzi,Du Xin,Wang Hongyan,Liu Jilei.A Method of Coastal Aquaculture Area Automatic Extraction with High Spatial Resolution Images[J].Remote Sensing Technology and Application,2015,30(3):486-494. |
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| Authors: | Lu Yewei Li Qiangzi Du Xin Wang Hongyan Liu Jilei |
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| Affiliation: | (1.Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences,Beijing 100101,China;;
2.China University of Mining Technology,Beijing 100083,China;;
3.University of Chinese Academy of Sciences,Beijing 100049,China);
It is significant to study on offshore aquaculture for development,utilization |
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| Abstract: | ,planning and protecting of coastal zones.Nowadays,it becomes one effective measure to investigate inshore aquaculture with remote sensing image processing.In this study,index of spectral feature,addresses rapid detection of offshore aquaculture activities,were constructed by analyzing the spectral feature of the fish raft and the kelp/porphyra zone in area of Sanduao Sea around Ningde City in Fujian Province.Then an algorithm of threshold detection based on the texture of the index was proposed to identify the fish raft and the kelp/ porphyra area.The model was selected to remove sea\|background,and the Otsu was used to discriminate fish raft and kelp/ porphyra area.The experimental results showed the proposed method can monitor the different aquaculture area in a fast and accurate way,and ensure the accuracy to reach higher than 90%. |
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| Keywords: | Remote sensing Offshore aquaculture Index Texture |
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