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|Table of Contents|

纹理信息在遥感影像分类中的应用(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2010年03期
Page:
97-100
Column:
研究论文
publishdate:
2010-06-29

Article Info:/Info

Title:
Application of texture information on classification of remote sensing imagery
Author(s):
WANG Dengfeng1 YANG Zhigang 2 WEI Anshi2
1.College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China; 2.Guangdong Forestry Survey and Planning Institute, Guangzhou 510520, China
Keywords:
forestry type classification high resolution remote texture wavelet transformation
Classification number :
S757
DOI:
10.3969/j.jssn.1000-2006.2010.03.020
Document Code:
A
Abstract:
Considering to the texture differences among foresty types, texture features of forestry were firstly extracted from remote sensing imagery with discrete wavelet transformation, and the imagery was then classified combining objectoriented classification method with the original spectral values and texture features. Six texture measure factors which can reflect the difference efficiently among plant difference are sieved out based on analyzing of wavelet decomposition level, sliding window and texture measure. This method could solve the problems of forestry type classification, tree species classification, etc. The overall classification accuracy reached 92.7 %, and it is much better than traditional method of classification based on pixel values.

References

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Last Update: 2010-06-29