NDVI-Based Lacunarity Texture for Improving Identification of Torreya Using Object-Oriented Method

HAN Ning; WU Jing; Amir Reza Shah Tahmassebi; XU Hong-wei; WANG Ke

首页> 中文期刊> 《农业科学学报（英文版）》 >NDVI-Based Lacunarity Texture for Improving Identification of Torreya Using Object-Oriented Method

NDVI-Based Lacunarity Texture for Improving Identification of Torreya Using Object-Oriented Method

开具论文收录证明 >>

期刊封面封底目录下载 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Normalized Difference Vegetation Index(NDVI) is a very useful feature for differentiating vegetation and non-vegetation in remote sensed imagery.In the light of the function of NDVI and the spatial patterns of the vegetation landscapes,we proposed the lacunarity texture derived from NDVI to characterize the spatial patterns of vegetation landscapes concerning the "gappiness" or "emptiness" characteristics.The NDVI-based lacunarity texture was incorporated into object-oriented classification for improving the identification of vegetation categories,especially Torreya which was the targeted tree species in the present research.A three-level hierarchical network of image objects was defined and the proposed texture was integrated as potential sources of information in the rules base.A knowledge base of rules created by classifier C5.0 indicated that the texture could potentially be applied in object-oriented classification.It was found that the addition of such texture improved the identification of every vegetation category.The results demonstrated that the texture could characterize the spatial patterns of vegetation structures,which could be a promising approach for vegetation identification.

著录项

来源
《农业科学学报（英文版）》 |2011年第9期|1431-1444|共14页
作者
HAN Ning; WU Jing; Amir Reza Shah Tahmassebi; XU Hong-wei; WANG Ke;
展开▼
作者单位

Institute of Remote Sensing and Information System Application College of Environment and Resource Science Zhejiang University Hangzhou 310029 P.R.China;

School of Environment and Resource Zhejiang Agriculture and Forestry University Hangzhou 311300 P. R. China;

展开▼
原文格式 PDF
正文语种 chi
中图分类
关键词

NDVI-Based Lacunarity Texture for Improving Identification of Torreya Using Object-Oriented Method

摘要

著录项

相关主题

期刊订阅