首页 | 本学科首页   官方微博 | 高级检索  
     

新疆棉花遥感识别模型研究
引用本文:宋金鹏,曹卫彬. 新疆棉花遥感识别模型研究[J]. 安徽农业科学, 2009, 37(5): 2199-2201
作者姓名:宋金鹏  曹卫彬
作者单位:1. 运城学院机电工程系,山西运城,044000
2. 石河子大学机械电气工程学院,新疆石河子,832003
摘    要:依据新疆主要农作物的农时历及作物的地面光谱数据,论证了在TM遥感影像中识别棉花的最佳波段为第4波段,最佳识别月份为9月,最后通过TM遥感影像上对应的波段数据进行了验证,确定了棉花的识别模式。

关 键 词:TM遥感影像  第四波段  最佳波段  识别模式  新疆

Study on the Identification Model in the Remote Sensing Monitor Application System of Xinjiang Cotton
SONG Jin-peng et al. Study on the Identification Model in the Remote Sensing Monitor Application System of Xinjiang Cotton[J]. Journal of Anhui Agricultural Sciences, 2009, 37(5): 2199-2201
Authors:SONG Jin-peng et al
Affiliation:SONG Jin-peng et al (Department of Machinal , Electronic,Yuncheng University,Yuncheng,Shanxi 044000)
Abstract:According to the farming calendar,spectral data of different crops and the spectral data in TM 1image,the authors expounded that TM Band 4 was the optimal broad band for cotton identification,and the optimal temporal image for cotton identification was September in Xinjiang.Through the analysis on the corresponding spectral data in TM image,the identification model was set up.
Keywords:TM remote sensing image  Landsat TM band 4  The optimal broad band  Identification model  Xinjiang  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号