浙江农林大学学报2017，Vol.34Issue(4)：721-729,9.DOI:10.11833/j.issn.2095-0756.2017.04.019
基于面向对象方法的GF-2影像桉树林信息提取
Extracting Eucalyptus information using GF-2 images based on an object-oriented method
摘要
Abstract
Remote sensing data from the Chinese GF-2 satellite, the highest spatial resolution satellite for civil-ian satellites so far, was used to explore satellite performance for forest resource information monitoring. This research took Pinglang County as the study area, analyzed characteristics of different objects, such as spectrum, normalized difference vegetation index (NDVI), and texture; extracted Eucalyptus data based on the method of object-oriented classification using GF-2 satellite data; and then evaluated classification accuracy (Confusion Matrix). Results showed that the object-oriented classification method was an effective technical method for ex-traction of Eucalyptus information with classification precision reaching 81.4% (producer's accuracy) and 86.4% (user's accuracy). Thus, GF-2 satellite data with high temporal and spatial resolution could provide a potential data source for remote sensing monitoring of forest resource information. [Ch, 5 fig. 4 tab. 25 ref.]关键词
森林测计学/GF-2影像/桉树/面向对象Key words
forest measuration/GF-2 images/Eucalyptus/object-oriented分类
农业科技引用本文复制引用
梁文海,刘吉凯,张伟,李新伟,钟仕全..基于面向对象方法的GF-2影像桉树林信息提取[J].浙江农林大学学报,2017,34(4):721-729,9.基金项目
安徽科技学院引进人才基金资助项目(ZRC2014396, ZHYJ201601, ZHYJ201603) （ZRC2014396, ZHYJ201601, ZHYJ201603）
安徽高校自然科学研究计划资助项目(KJ2016A173, KJ2016A168) （KJ2016A173, KJ2016A168）
