城镇阴影区植物分布信息提取与亮度修复的方法

华东师范大学学报(自然科学版) ›› 2011, Vol. 2011 ›› Issue (6): 1-9.

• 环境工程地理学 • 下一篇

城镇阴影区植物分布信息提取与亮度修复的方法

周坚华¹，周一凡²，郭晓华¹，任珍¹

1.华东师范大学地理信息科学教育部重点实验室，上海 200062；
2.斯坦福大学地球科学学院能源工程系，CA 94305-2220， USA

收稿日期:2010-08-01 修回日期:2010-11-01 出版日期:2011-11-25 发布日期:2011-11-22

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

ZHOU Jian-hua¹, ZHOU Yi-fan², GUO Xiao-hua¹, REN Zhen¹

1. Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China;
2. Department of Energy Resources Engineering, School of Earth Science, Stanford University, CA 94305-2220, USA

Received:2010-08-01 Revised:2010-11-01 Online:2011-11-25 Published:2011-11-22

摘要/Abstract

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.

关键词: 城镇绿地, 碳捕获, 阴影指数, 亮度修复

Abstract: In the urban built-up areas with densely high-rising buildings, about 20% of landscape vegetation is growing at darken areas shaded by buildings or other higher plants. In order to drive a model of measuring captured carbon by remote sensing, one of the puzzles to be solved firstly is to separate and extract those plants at darken areas. So a new conception of NDUI (Normalized Difference Umbra Index) has been put forward here. With NDUI, the total area of landscape vegetation is extracted from an infrared remote sensing image by means of NDVI (Normalized Difference Vegetation Index), and then the plants at darken areas are separated from the total area through another segmentation threshold referring to NDUI. These separated plants at darken area can be enhanced with an algorithm of repairing brightness. It is demonstrated by experiments that the algorithm proposed here can work robustly to meet the requirement.

Key words: urban landscape vegetation, captured carbon, NDUI (Normalized Difference Umbra Index), repairing brightness

中图分类号:

TP79
TP751.1

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, 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 Sc, 2011, 2011(6): 1-9.

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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

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

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