城镇阴影区植物分布信息提取与亮度修复的方法

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 Diffe...

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

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.