高光谱,数码照片,苹果花期,光谱特征,相关性," /> 高光谱,数码照片,苹果花期,光谱特征,相关性,"/> hyperspectral,digital photoes,apple florescence,spectral features,correlation,"/> <font face="Verdana">基于高光谱和数码照相技术的苹果花期光谱特征研究</font>

中国农业科学 ›› 2009, Vol. 42 ›› Issue (7): 2481-2490 .doi: 10.3864/j.issn.0578-1752.2009.07.028

• 园艺 • 上一篇    下一篇

基于高光谱和数码照相技术的苹果花期光谱特征研究

雷 彤,赵庚星,朱西存,战 冰,张洋洋   

  1. (山东农业大学资源与环境学院)
  • 收稿日期:2008-08-18 修回日期:2008-09-28 出版日期:2009-07-10 发布日期:2009-07-10
  • 通讯作者: 赵庚星

Research of Apple Florescence Spectral Features Based on Hyperspectral Data and Digital Photos#br#

LEI Tong, ZHAO Geng-xing, ZHU Xi-cun, ZHAN Bing, ZHANG Yang-yang#br#   

  1. (山东农业大学资源与环境学院)
  • Received:2008-08-18 Revised:2008-09-28 Online:2009-07-10 Published:2009-07-10
  • Contact: ZHAO Geng-xing

摘要:

【目的】旨在探索苹果花期的光谱特征和敏感波段。【方法】以栖霞市为研究区,利用苹果花期数码照片监督分类,提取苹果花树比和花叶比指标信息,通过与同步高光谱探测数据的相关分析,研究苹果树花期光谱特性,确定其敏感的光谱波段。【结果】苹果树花期光谱特征主要表现为对蓝光和红光的吸收、对绿光的反射,和对750~1 300 nm近红外的强烈反射。其光谱特征变化与花叶比和花树比指标呈现较好的相关性,敏感波段范围为400~530 nm的蓝青光和570~700 nm的橙红光,以及中等花树比果树760~1 350 nm的近红外。【结论】该研究提出了高光谱遥感与数码照相技术相结合的有效方法,初步探明了苹果树花期的光谱特征,为苹果园地信息提取、营养诊断和苹果生产管理的实时性与信息化提供了理论依据和技术支撑。

关键词: 高光谱')">高光谱, 数码照片, 苹果花期, 光谱特征, 相关性

Abstract:

【Objective】 This study aims on the spectral features and sensitive spectrum wave band in the apple florescence. 【Method】Taking Qixia City as the research region, using supervised classification of the flowering apple digital photos to extract the target information of the ratio of apple flower/leaf and apple flower/tree, this paper carries out the correlation analysis of the ratio data with synchronization hyperspectral detection data, to determine the spectral features and sensitive spectrum wave band of the apple florescence. 【Result】 The spectral features of apple florescence mainly presented as absorption of blue light and red light, reflection of green light, and the strong reflection of near-infrared between 750 nm to 1 300 nm. The change of apple florescence spectral features and the target information of apple flower/leaf and apple flower/tree present a good correlation, and it indicates that the sensitive wave band range is 400-530 nm cyan light, 570-700 nm orange-red light, and the 760-1 350 nm nearly infrared of medium flower/tree of apple trees. 【Conclusion】 This study puts forward an effective way of the hyperspectral remote sensing with the combination of digital photos, preliminaryly proved the spectral characteristics of flowering apple trees, and it has provided a theoretical basis and technical support for the extracting apple's field information, nutrition diagnosis and apple production and management of real-time and informationization.

Key words: hyperspectral')">hyperspectral, digital photoes, apple florescence, spectral features, correlation