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城镇阴影区植物分布信息提取与亮度修复的方法

周坚华 周一凡 郭晓华 任珍

周坚华, 周一凡, 郭晓华, 任珍. 城镇阴影区植物分布信息提取与亮度修复的方法[J]. 华东师范大学学报(自然科学版), 2011, (6): 1-9.
引用本文: 周坚华, 周一凡, 郭晓华, 任珍. 城镇阴影区植物分布信息提取与亮度修复的方法[J]. 华东师范大学学报(自然科学版), 2011, (6): 1-9.
ZHOU Jian-hua, ZHOU Yi-fan, GUO Xiao-hua, REN Zhen. Methods of extracting distribution information of plants at urban darken areas and repairing their brightness[J]. Journal of East China Normal University (Natural Sciences), 2011, (6): 1-9.
Citation: ZHOU Jian-hua, ZHOU Yi-fan, GUO Xiao-hua, REN Zhen. Methods of extracting distribution information of plants at urban darken areas and repairing their brightness[J]. Journal of East China Normal University (Natural Sciences), 2011, (6): 1-9.

城镇阴影区植物分布信息提取与亮度修复的方法

详细信息
  • 中图分类号: TP79;TP751.1

Methods of extracting distribution information of plants at urban darken areas and repairing their brightness

  • 摘要: 在建筑林立的城镇建成区,其绿化地通常有约20%的植物处于阴影区,为了实现绿化植物群碳捕获模型的全遥感驱动,必须解决的基础性难题之一是分离与提取阴影区植物.为此提出了归一化阴影指数(Normalized Difference Umbra Index,NDUI)的概念.当采用归一化植被指数(Normalized Difference Vegetation Index,NDVI)确定植被范围后,可以通过NDUI进一步分离和提取阴影区植物.为了改善识别效果,还可以在此基础上对阴影区植被进行亮度修复.经过仿真测试,证明该算法具有很好的稳健性.
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出版历程
  • 收稿日期:  2010-08-01
  • 修回日期:  2010-11-01
  • 刊出日期:  2011-11-25

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