| XU Jingping,ZHAO Jianhua,LI Fang,WANG Lin,SONG Derui,WEN Shiyong,WANG Fei,GAO Ning. 2016. Object-based image analysis for mapping geomorphic zones of coral reefs in the Xisha Islands, China. Acta Oceanologica Sinica, 35(12):19－27 |
| Object-based image analysis for mapping geomorphic zones of coral reefs in the Xisha Islands, China |
| 基于面向对象影像分析方法的我国西沙珊瑚礁地貌单元信息提取 |
| Received:August 02, 2015 Revised:January 25, 2016 |
| DOI：10.1007/s13131-016-0921-y |
| Key words:object-based Landsat 8 geomorphic mapping Xisha Islands |
| 中文关键词: 面向对象 Landsat 8 地貌单元制图 西沙群岛 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | XU Jingping | National Marine Environmental Monitoring Center, Dalian 116023, China | | | ZHAO Jianhua | National Marine Environmental Monitoring Center, Dalian 116023, China | lyt_yy@163.com | | LI Fang | National Marine Environmental Monitoring Center, Dalian 116023, China | | | WANG Lin | National Marine Environmental Monitoring Center, Dalian 116023, China | | | SONG Derui | National Marine Environmental Monitoring Center, Dalian 116023, China | | | WEN Shiyong | National Marine Environmental Monitoring Center, Dalian 116023, China | | | WANG Fei | National Marine Environmental Monitoring Center, Dalian 116023, China | | | GAO Ning | National Marine Environmental Monitoring Center, Dalian 116023, China | |
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| Abstract: |
| Mapping regional spatial patterns of coral reef geomorphology provides the primary information to understand the constructive processes in the reef ecosystem. However, this work is challenged by the pixel-based image classification method for its comparatively low accuracy. In this paper, an object-based image analysis (OBIA) method was presented to map intra-reef geomorphology of coral reefs in the Xisha Islands, China using Landsat 8 satellite imagery. Following the work of the Millennium Coral Reef Mapping Project, a regional reef class hierarchy with ten geomorphic classes was first defined. Then, incorporating the hierarchical concept and integrating the spectral and additional spatial information such as context, shape and contextual relationships, a large-scale geomorphic map was produced by OBIA with accuracies generally more than 80%. Although the robustness of OBIA has been validated in the applications of coral reef mapping from individual reefs to reef system in this paper, further work is still required to improve its transferability. |
| 中文摘要: |
| 珊瑚礁地貌单元的空间分布对于理解珊瑚礁生态系统的地质构造过程具有重要作用。然而，基于像素的影像分析方法往往获取不到较高精度的分类结果。本文基于面向对象的影像分析方法，利用Landsat 8卫星影像数据对我国西沙地区的珊瑚环礁进行了地貌单元的遥感信息提取。借鉴于美国千年珊瑚礁测绘项目的工作成果，本文首先针对研究区特点定义了十类珊瑚礁地貌单元类型。然后，基于对象的多层次关系特点，并综合利用对象的光谱、形状、上下文关系等特征，建立合适的分类规则集，获取了研究区较大尺度的珊瑚环礁地貌分区图，其分类精度普遍高于80%。虽然研究结果表明基于面向对象的影像分析方法可以有效的进行珊瑚礁遥感信息提取，但其规则集的可移植性仍需要今后的工作加以改善。 |
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