WorldView-2影像林地信息提取的研究与实现 |
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引用本文: | 凌春丽,朱兰艳,吴俐民. WorldView-2影像林地信息提取的研究与实现[J]. 测绘科学, 2010, 35(5): 205-207 |
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作者姓名: | 凌春丽 朱兰艳 吴俐民 |
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作者单位: | 昆明理工大学国土资源工程学院,昆明,650093;昆明市规划编制与信息中心,昆明,650011 |
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摘 要: | 林地信息的获取具有重要意义,可广泛应用于城市规划编制、林地资源分析、水土流失治理等领域。本文基于WorldView-2影像,在研究分割与对象特征的基础上,采用面向对象方法,实现了林地信息提取,其用户精度达到94%,制图精度达到97.2%。然后,将像元二分模型应用于林地类对象,计算其植被覆盖度。试验表明,面向对象方法能高效、准确、经济地提取林地信息;基于林地类对象计算的植被覆盖度能较好地表征植被覆盖情况。
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关 键 词: | WorldView-2影像 面向对象 林地信息提取 像元二分模型 |
The research and realization of the forest information extraction based on the WorldView-2 image |
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Abstract: | The forest plays an important role in urban planning,forest analysis and soil erosion management.After studying the segmentation and the objects features,the forest information is extracted from the WorldView-2 image based on the object-oriented method in this article.The users' accuracy of the forest information extraction is 94%,and the mapping accuracy is 97.2%.Then,the pixel binary model is applied to the forest objects to calculate their vegetation coverage.There is a conclusion that we can extract the forest information from the high resolution image based on the object-oriented method economically,accurately and efficiently.It is good to apply the pixel binary model to the objects to calculate the vegetation coverage,and the vegetation cover situation can be represented well. |
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Keywords: | WorldView-2 image object-oriented method forest information extraction pixel binary model |
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