云南省腾冲县几种蔬菜反射光谱特征的初步分析

doi:10.11873/j.issn.1004-0323.2008.6.639

遥感技术与应用

2008, Vol. 23

Issue (6): 639-642 DOI: 10.11873/j.issn.1004-0323.2008.6.639

研究与应用

云南省腾冲县几种蔬菜反射光谱特征的初步分析

杨存建^1,2,杨建祥^3,李春燕⁴,任国业⁵

(1.四川师范大学省软件重点实验室遥感与GIS应用研究中心,四川成都610068；2.云南大学生态研究所,云南昆明650091；3.云南省林业调查规划设计院,云南昆明650051；4.电子科技大学地表空间信息技术研究所,四川成都10054；5.四川省农业科学研究院遥感应用研究所,四川成都610066)

Analysis of the Spectrum Feature of Different Vegetable in Tengchong County of Yunnan Province

YANG Cun-jian^1,2,YANG Jian-xiang³,LI Cun-yan⁴,REN Guo-ye⁵

(1.The Research Center of RS &|GIS Applications,Sichuan Normal University,Chengdu 610068,China;2 Institute of Ecology and Geobotany,Yunnan University,Kunming 650091,China;3.Yunnan Institute of Forestry Plan and Design,Kunming 650051,China;4.Institute of Geo-surfaceInformation Technology,University of Electronic and Technology of China,Chengdu 610054,China;5.Sichuan Academy of Agriculture Science,Institute of Remote Sensing Applications,Chengdu 610066,China)

全文: PDF(646 KB)

摘要：

蔬菜光谱特征的测定和分析对遥感识别蔬菜具有极其重要的意义。利用SE590地物光谱仪在野外对腾冲县的几种蔬菜进行了反射光谱值的测定,并制作了光谱曲线图,对其光谱特征进行了分析。在此基础上,对其光谱数据进行一阶导数的变换,并对各蔬菜的一阶导数的特征进行了分析。研究表明,在波长400~679 nm的范围上,可以根据其反射值的高低,将蔬菜分为两组,一组为大白菜、豌豆、牛皮菜和青菜,另一组为葱、大蒜和香菜。对于第一组而言,根据反射的峰值、谷值、坡度和反射值的高低等特征可以将它们区别开。对于第二组而言,根据其在726~1 100 nm范围上反射值的高低,可以将其区别开来。就各种蔬菜的一阶导数特征而言,大白菜、豌豆、大蒜、葱和香菜等均在特定的波段位置存在着独特的一阶导数特征,据此可以将其区别出来。而牛皮菜和青菜却没有独特的一阶导数特征。

关键词： 光谱; 蔬菜; 特征分析

Abstract:

The measure and analysis of the spectrum of vegetables is very important for applying remote sensing in identifying vegetable.The spectrum data of the different vegetables such as Chinese cabbage,garden pea,cattle vegetable,verdure,garlic,onion,parsley are gotten by using SE590 hyper\|spectral radiometer in Tengchong county of Yunnan province.The spectrum curves of the vegetables are made based on the spectrum data.The spectrum feature is analyzed based on the spectrum data.The first order derivative transfer was carried out in the spectrum data.The first order derivative feature is analyzed.It is shown that:The vegetables can be divided into two groups according to their reflectivity during 400nm to 679nm.The first group with higher reflectivity includes Chinese cabbage,garden pea,cattle vegetable,verdure.The second group with lower reflectivity includes onion,garlic and parsley.Each vegetable can be differentiated from each other according to the peak value,valley value and slope of their spectrum curves,and their reflectivity value in the first group.Each vegetable can be differentiated from each other according to their reflectivity values during 726nm to 1 100nm in the second group.The unique first order derivative feature can be used to identify Chinese cabbage,garden pea,garlic,onion and parsley.

Key words: Spectrum Vegetable Feature analysis

收稿日期: 2008-04-21 出版日期: 2011-11-07

TP 79

基金资助:

云南省应用基金资助项目(2000D0002Q)；国家自然科学基金项目(40771144)资助。

作者简介: 杨存建(1967-),男,博士,教授,主要从事遥感和地理信息系统应用研究。E-mail:yangcj2008@126.com。

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引用本文:

杨存建,杨建祥,李春燕,任国业. 云南省腾冲县几种蔬菜反射光谱特征的初步分析[J]. 遥感技术与应用, 2008, 23(6): 639-642.

YANG Cun-jian,YANG Jian-xiang,LI Cun-yan,REN Guo-ye. Analysis of the Spectrum Feature of Different Vegetable in Tengchong County of Yunnan Province. Remote Sensing Technology and Application, 2008, 23(6): 639-642.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2008.6.639 或 http://www.rsta.ac.cn/CN/Y2008/V23/I6/639

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