基于面向对象的热带林分类方法研究

王文泉; 陈永富; 李肇晨; 洪小江; 李小成; 韩文涛

doi:10.3969/j.issn.1000-2006.201604040

基于面向对象的热带林分类方法研究

王文泉,陈永富,李肇晨,洪小江,李小成,韩文涛

南京林业大学学报（自然科学版） ›› 2017, Vol. 41 ›› Issue (03) : 117-123.

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南京林业大学学报（自然科学版） ›› 2017, Vol. 41 ›› Issue (03) : 117-123. DOI: 10.3969/j.issn.1000-2006.201604040

研究论文

基于面向对象的热带林分类方法研究

王文泉¹,陈永富^1*,李肇晨¹,洪小江²,李小成²,韩文涛²

作者信息 +

Object-oriented classification of tropical forest

WANG Wenquan¹,CHEN Yongfu^1*,LI Zhaochen¹,HONG Xiaojiang²,LI Xiaocheng²,HAN Wentao²

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文章历史 +

摘要

【目的】为了加强热带林资源的保护,采用遥感技术对热带林植被进行分类研究。【方法】基于SPOT6高分辨率遥感影像,采用ESP多尺度分割评价模型与专家知识结合的方法确定最优分割尺度参数,在分割的基础上充分挖掘目标地物的光谱、形状及纹理信息,合理选择分类特征组合,建立分类规则,构建了一套基于面向对象的热带林多尺度分类方法。【结果】与单一尺度的分类方法相比,该方法分类精度有明显提高,分类总体精度达到84.46%,并且缩短了传统目视确定最优分割参数的时间,提高了分割效率和精度。【结论】基于面向对象的多尺度分类方法能够实现高精度的热带林植被信息提取,可为遥感分类技术在热带林的应用提供参考。

Abstract

【Objective】This study was conducted to improve tropical forests protection by assessing remote sensing-based classification technology based on remote sensing. 【Methods】Using an object-oriented classification method, tropical forests was extracted based on SPOT-6 high-resolution remote sensing images. Specifically, the estimation of scale parameter(ESP)multi-scale segmentation model, coupled with experts’ knowledge, was used to determine the optimal segmentation scale parameters. Through the analysis of the spectral, shape and texture features of the image objects, a reasonable set of these features was established. As a consequence, an object-oriented multi-scale classification method was created to map the distribution of tropical forests using classification rules. 【Results】The results showed that the proposed object-oriented multi-scale classification method had the ability to extract information about the distribution of tropical forests. This method had an overall classification accuracy of 84.46%, which was an improvement over that of single-scale classification. Moreover, less time was needed and accuracy was improved with this method, compared with the traditional segmentation method. 【Conclusion】Our object-oriented multi-scale classification method provides a solid technical reference for mapping tropical forests mapping, which is fundamental for monitoring and protection of tropical forests resources.

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王文泉,陈永富,李肇晨,洪小江,李小成,韩文涛. 基于面向对象的热带林分类方法研究[J]. 南京林业大学学报（自然科学版）. 2017, 41(03): 117-123 https://doi.org/10.3969/j.issn.1000-2006.201604040

WANG Wenquan,CHEN Yongfu,LI Zhaochen,HONG Xiaojiang,LI Xiaocheng,HAN Wentao. Object-oriented classification of tropical forest[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2017, 41(03): 117-123 https://doi.org/10.3969/j.issn.1000-2006.201604040

中图分类号： S757

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基金

收稿日期:2016-04-01 修回日期:2017-01-03
基金项目:国家自然科学基金项目(31270678)
第一作者:王文泉(wangwenquanhaha@163.com)。*通信作者:陈永富(chenyf@ifrit.ac.com),研究员,博士。
引文格式:王文泉,陈永富,李肇晨,等. 基于面向对象的热带林分类方法研究[J]. 南京林业大学学报(自然科学版),2017,41(3):117-123.