ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

水稻中稗草光譜分析與識(shí)別
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號(hào):

基金項(xiàng)目:


Author:
Affiliation:

Fund Project:

  • 摘要
    • |
  • 圖/表
    • |
  • 訪問統(tǒng)計(jì)
    • |
  • 參考文獻(xiàn)
    • |
  • 相似文獻(xiàn)
    • |
  • 引證文獻(xiàn)
    • |
  • 資源附件
    • |
  • 文章評(píng)論
    摘要:

    利用ASD光譜儀在室內(nèi)分別測量了水稻,、稗草在350～2500nm波段內(nèi)的反射率,。以各波長點(diǎn)處的反射率與綠色反射峰處（555 nm）的反射率的比值為變量,，運(yùn)用SAS統(tǒng)計(jì)軟件的STEPDISC過程篩選能夠區(qū)分作物和雜草的變量；判別模型中加入篩選得到的變量,，利用DISCRIM過程進(jìn)行判別分析,。實(shí)驗(yàn)結(jié)果表明，利用4個(gè)波長點(diǎn)比率395/555,、535/555,、705/555和1105/555可有效地從水稻中識(shí)別出稗草，其識(shí)別率為100％,。紅邊內(nèi)波長點(diǎn)705nm處的反射率與555nm處反射率的比值對(duì)模型貢獻(xiàn)最大,。

    Abstract:

    The spectral reflectance of rice and barnyard-grass was determined in the range from 350 to 2500nm using the Analytical Spectral Device Full Range FieldSpec Pro (ASD) on laboratory. The discrimination analysis was carried out with the statistical software package SAS. The spectral reflectance at the green peak (555nm) was chosen as denominator, and wavelength ratios were calculated as variables to discriminate. Wavelength ratios were selected using the STEPDISC procedure. With the selected variables, the discrimination models were developed using the DISCRIM procedure in SAS. Four wavelength ratios including 395/555, 535/555, 705/555 and 1105/555, were utilized to gain good classification performance (100% accuracy) for distinguishing barnyard-grass from rice. The ratio of spectral reflectance at 705nm in the red edge to spectral reflectance at 555nm contributes more to the discrimination model.  

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

陳樹人,栗移新,毛罕平,沈?qū)殗?水稻中稗草光譜分析與識(shí)別[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(9):96-99.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(9):96-99.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期:
  • 出版日期:
文章二維碼