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

Abstract

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

CLC Number:

TP79
TP751.1

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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