基于RGB模式的一种草地盖度定量快速测定方法研究  

A quantitative analysis method for measuring grassland coverage based on the RGB model

作　　者：章超斌[1] 李建龙[1] 张颖[1] 周伟[1] 钱育蓉[2] 杨峰[3] 

机构地区：[1]南京大学生命科学院,江苏南京210093 [2]新疆大学软件学院,新疆乌鲁木齐830008 [3]四川农业大学农学院,四川雅安625014

出　　处：《草业学报》2013年第4期220-226,共7页Acta Prataculturae Sinica

基　　金：国家重点基础研究发展计划(973计划)项目(2010CB950702);国家自然科学基金项目(41271361);国家863计划专题项目(2007AA10Z231)资助

摘　　要：盖度是研究植物群落结构的一个重要数量指标,传统目视估算法精度低且受人的影响较大。本研究分析了大量荒漠草地实地照片的RGB颜色模式特征,构造了RGB颜色判别决策树区分植被与非植被像元来计算植被的覆盖度,同时在Matlab 7.0平台上将数码照片的导入、地物判别、盖度计算、划分结果显示、对照等功能模块集成,构建用户界面友好、人机交互便捷软件模块,从而能够准确、高效地计算草地盖度,方便了草原实地调查工作。与针刺法相比,该方法计算得到的植被覆盖度最大偏差绝对值不超过5%,精度在95%以上,解决了常规人工方法中估测草地盖度工作量大、不能准确定量测定的问题。Coverage is an important quantitative index for plant community structure. Traditional visual estima ommunities not only had low precision but was also influenced by subjectivity. green-blue） mode of field photographs from desert grassland, the algorithms of re constructed to calculate the vegetation coverage through distinguishing plant ;oftware was constructed with a friendly interface after, integrated human-com- integrated function blocks of digital photograph import, object identification, isplay, and comparisons in the Matlab 7.0 platform, had achieved accurate and verage and facilitated grassland field investigations. Compared with acupuncture, the maximum absolute deviation of this algorithms was less than 5%, and the resulting vegetation coverage ac-curacy was more than 95%. This method could solve the problems of the heavy workload and inaccurate quan titativc determination in normal manual estimation of grassland coverage.

关 键 词：草地 RGB判别决策树 植被盖度 MATLAB 

分 类 号：S812[农业科学—草业科学] S127[农业科学—畜牧学]