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作 者:许章华[1,2] 余坤勇[1,2] 刘健[1,2,3] 谢舒菁[2] 李秀平[2] 陈福海[1,2] 亓兴兰[1,4] 陈国荣[1,5] 李增禄[1,3]
机构地区:[1]福建农林大学3S技术应用研究所,福建福州350002 [2]福建农林大学林学院,福建福州350002 [3]三明学院,福建三明365000 [4]福建林业职业技术学院,福建南平353000 [5]三明市林业局,福建三明365599
出 处:《江西农业大学学报》2012年第5期933-939,共7页Acta Agriculturae Universitatis Jiangxiensis
基 金:国家自然科学基金项目(30871965)
摘 要:马尾松毛虫是我国南方地区最主要的森林害虫,给生态、经济与社会带来极大威胁。随着遥感数据国产化步伐的不断加快及空间、时间、光谱分辨率的不断提升,马尾松毛虫害空间识别技术的突破迎来新的契机。旨在探索一种适于南方山地丘陵区马尾松毛虫虫害信息提取的方法,其主要思路是:在实现马尾松林信息提取的基础上,选择并获取与马尾松毛虫虫害信息相关的地形因子、NDVI、叶面积指数及红边参数等指标,基于光谱实现松毛虫信息片层的分割;以光谱片层为对象,进行主成分变换,提取其纹理特征,并利用决策树分类规则实现马尾松毛虫虫害信息的提取。Dendrolimus punctatus is the main forest pest in the southern hilly areas in China, which brings about severe threat to the ecology, economy and society. With the accelerating pace of China' s localization of remote sensing data and the rising of spatial, time, and spectral resolusions, the spatial recognition techonology ' s breakthroughs for Dendrollmus punctatus damage are facing a new opportunity. This paper aims to explore a method for Dendrolimus punctatus damage information extraction suitable for southern hilly areas in China. The main ideas are: the terrian factors, NDVI, leaf area index and red edge parameter which are relevant to the Dendrolimus punctatus damage information were selected and extracted on the basis of the extration of masson pine forest; then the film subset was achieved based on the spectral features by taking the spectra film asthe objects and conducting the principal component analysis. These process will realize the Dendrolimus punctatus damage information extraction relying on the Decision Tree Classification.
关 键 词:南方山地丘陵区 马尾松毛虫 虫害信息提取 地形因子 叶面积指数 基于片层-面向类
分 类 号:S791.248.01[农业科学—林木遗传育种]
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