| 面向对象的高分辨率遥感影像森林植被变化检测方法对比研究 |
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| 引用本文： | 章紫粼,卢鹏.面向对象的高分辨率遥感影像森林植被变化检测方法对比研究[J].陕西林业科技,2019(3):47-50. |
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| 作者姓名： | 章紫粼 卢鹏 |
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| 作者单位： | 贵州林业勘察设计有限公司;贵州省林业调查规划院 |
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| 基金项目： | 基于高分辨率遥感影像森林植被变化信息提取应用关键技术研究(黔林科合[2016]03号) |
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| 摘 要： | 利用面向对象分类技术,对同一区域同一数据源的高分辨率遥感影像采用了分类前比较及分类后处理两种变化检测方法进行对比分析,结果表明分类后处理的变化检测方法在现阶段的森林植被变化检测中具有较高的提取精度,可用于森林动态变化监测、自然灾害评估等工作。
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| 关 键 词： | 高分辨率遥感影像 森林植被变化检测 变化检测方法 面向对象 |
Object Oriented Classification of High-resolution Remote Sensing Image for Monitoring the Change of Forest Vegetation by Comparison |
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| ZHANG Zi-ling,LU Peng.Object Oriented Classification of High-resolution Remote Sensing Image for Monitoring the Change of Forest Vegetation by Comparison[J].Shaanxi Forest Science and Technology,2019(3):47-50. |
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| Authors: | ZHANG Zi-ling LU Peng |
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| Institution: | (Guizhou Forest Inventory and Designing Corporation,Ltd.,Guiyang,Guizhou 550000;Guizhou Forest Inventory and Planning Institute,Guiyang,Guizhou 550000) |
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| Abstract: | Object-oriented classifications were applied for high-resolution remote sensing image and results before and after for same data of same area were compared. The result showed that object-oriented classification makes the monitoring of forest vegetation change more accurate. The methods can be applied for monitoring the dynamic change of vegetation change or natural disaster assessment. |
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| Keywords: | High-resolution remote sensing image monitoring of forest vegetation change methods to monitoring the change object-oriented |
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