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首页> 外文会议>Asian conference on remote sensing;ACRS >CROWN SEGMENTATION OF RAMIN MELAWIS TREE USING HYPERSPECTRAL IMAGERY
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CROWN SEGMENTATION OF RAMIN MELAWIS TREE USING HYPERSPECTRAL IMAGERY

机译：高光谱成像技术在拉美蜜拉维斯树冠上的分离

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ABSTRACT:Due to the high price of Ramin Melawis tree, it suffers from uncontrollable logging activities. To help reducing declination of Ramin Melawis tree species, up to date and accurate tree species information is important to ensure the success of forest planning and management for Ramin Melawis tree. Discriminating tree species in mixed tropical peat swamp forest has been challenging due to the similar spectral reflectance of neighbouring trees. This study focus on classifying Ramin Melawis tree using hyperspectral image (HySpex VNIR 1600) and object based image analysis. Two segmentation algorithm, Multiresolution segmentation and watershed segmentation were used to delineate tree crown from hyperspectral image. Both algorithms has been successfully delineate tree crown in coniferous and temperate deciduous forest. Therefore, these segmentation algorithms will be tested to delineate tree crown in mixed peat swamp forest. Spectral reflectance and spectral indices in hyperspectral image will be used for the segmentation algorithm to discriminate and delineate tree crown of the tree species.This paper will present the preliminary result of the Multiresolution Region Growing segmentation and Watershed Segmentation.
机译：摘要：由于Ramin Melawis树的价格高昂，它遭受了无法控制的伐木活动。为了帮助减少Ramin Melawis树种的倾斜度，最新和准确的树种信息对于确保Ramin Melawis树的森林规划和管理成功至关重要。由于邻近树木的光谱反射率相似，因此在区分热带泥炭沼泽森林中区分树木种类一直具有挑战性。这项研究的重点是使用高光谱图像（HySpex VNIR 1600）和基于对象的图像分析对Ramin Melawis树进行分类。两种分割算法，多分辨率分割和分水岭分割被用来从高光谱图像中描绘出树冠。两种算法均已成功地描绘了针叶和温带落叶林中的树冠。因此，将测试这些分割算法以描绘混合泥炭沼泽森林中的树冠。高光谱图像中的光谱反射率和光谱指数将被用于分割算法来区分和描绘树木的树冠。本文将介绍多分辨率区域生长分割和分水岭分割的初步结果。

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