摘要
ENVISat ASAR数据在水稻识别和制图中应用研究比较深入,但对该数据用于小麦识别和制图的技术方法的研究还比较缺乏。以北京市通州区为试验区,研究了利用多时相ENVISat ASAR数据进行冬小麦识别的技术方法。应用GPS实测定位和基于高分辨率World View-1影像解译等手段获取分类精度检验数据,结果表明多时相ASAR数据可用于我国北方冬小麦的识别,对小麦—非小麦两类型的识别总精度为82.64%。
ENVISat ASAR data has been successfully applied in indentifying and mapping rice in numerous studies,however the application in wheat is still needed to improve.As a case study,in this paper,multi-temporal ENVISat ASAR data were used to identify winter at Tongzhou district,Beijing.GPS measurements and high spatial resolution image（WorldView-1） were used to validate the classification result.With the wheat/non-wheat classification accuracy of 94.87%,the result shows that ENVISat ASAR data has great potentials in discriminating winter wheat in North China.
出处
《遥感技术与应用》
CSCD
北大核心
2010年第4期458-463,共6页
Remote Sensing Technology and Application
基金
国家高技术研究与发展计划资助项目(2006AA12010105)
关键词
ENVISAT
ASAR
冬小麦
多时相滤波
分类识别
ENVISat ASAR data
Winter wheat
Multi-temporal filter
Classification and identification
