南京林业大学学报（自然科学版）2017，Vol.41Issue(3)：117-123,7.DOI:10.3969/j.issn.1000-2006.201604040
基于面向对象的热带林分类方法研究
Object-oriented classification of tropical forest
摘要
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 singlescale 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.关键词
面向对象/热带林/信息提取/多尺度分割Key words
object-oriented/tropical forests/information extraction/multi-scale segmentation分类
农业科技引用本文复制引用
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(3):117-123,7.基金项目
国家自然科学基金项目(31270678) （31270678）
