光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2010年
1期
210-213
,共4页
杨玮%Nick Sigrimis%李民赞
楊瑋%Nick Sigrimis%李民讚
양위%Nick Sigrimis%리민찬
多光谱%氮含量%NDVI%黄瓜%图像处理
多光譜%氮含量%NDVI%黃瓜%圖像處理
다광보%담함량%NDVI%황과%도상처리
Spectral characteristic%Nitrogen content%NDVI%Cucumber%Image processing
采用CCD照相机加滤光片的方法,进行了基于多光谱图像分析的温室黄瓜叶片营养元素检测与诊断研究.对近红外光波段的叶片图像分别采用遗传算法和分水岭算法进行阈值选取,对两种算法二值化的效果进行对比分析,结果表明采用分水岭方法分割的图像,边界清晰,噪音小,与原图像更接近,背景和叶片分离的效果更好.NDVI与叶面积、叶片含氮量之间有明显的线性关系,R~2分别为:0.820 9和0.701 7.GNDVI与叶面积、叶片的含氮量之间也有较高的线性关系,R~2分别为:0.762 5和0.676 2.RVI与叶面积之间有明显的线性相关关系,R~2为0.857 7,但与叶片的含氮量之间则包含了非线性成分,R~2为0.598 8.以上结果表明,CCD照相机加滤光片可以作为一种作物含氮量信息的快速诊断方法.
採用CCD照相機加濾光片的方法,進行瞭基于多光譜圖像分析的溫室黃瓜葉片營養元素檢測與診斷研究.對近紅外光波段的葉片圖像分彆採用遺傳算法和分水嶺算法進行閾值選取,對兩種算法二值化的效果進行對比分析,結果錶明採用分水嶺方法分割的圖像,邊界清晰,譟音小,與原圖像更接近,揹景和葉片分離的效果更好.NDVI與葉麵積、葉片含氮量之間有明顯的線性關繫,R~2分彆為:0.820 9和0.701 7.GNDVI與葉麵積、葉片的含氮量之間也有較高的線性關繫,R~2分彆為:0.762 5和0.676 2.RVI與葉麵積之間有明顯的線性相關關繫,R~2為0.857 7,但與葉片的含氮量之間則包含瞭非線性成分,R~2為0.598 8.以上結果錶明,CCD照相機加濾光片可以作為一種作物含氮量信息的快速診斷方法.
채용CCD조상궤가려광편적방법,진행료기우다광보도상분석적온실황과협편영양원소검측여진단연구.대근홍외광파단적협편도상분별채용유전산법화분수령산법진행역치선취,대량충산법이치화적효과진행대비분석,결과표명채용분수령방법분할적도상,변계청석,조음소,여원도상경접근,배경화협편분리적효과경호.NDVI여협면적、협편함담량지간유명현적선성관계,R~2분별위:0.820 9화0.701 7.GNDVI여협면적、협편적함담량지간야유교고적선성관계,R~2분별위:0.762 5화0.676 2.RVI여협면적지간유명현적선성상관관계,R~2위0.857 7,단여협편적함담량지간칙포함료비선성성분,R~2위0.598 8.이상결과표명,CCD조상궤가려광편가이작위일충작물함담량신식적쾌속진단방법.
Using CCD camera and special filters, the growth parameters of cucumber plants, the nitrogen content and the area of leaves, were investigated in an experimental greenhouse. In order to make nutrient stress to the plants, different nitrogen levels were prepared. The basic nitrogen content was 0. 067 kg·L~(-1) and four different levels of nitrogen contents were made to be 2, It 0. 5, and 0. 2 N, respectively. The genetic and water-segment methods were used to separate IR and R~2 images from the background. It was found that the result of water-segment is better. It has clearer boundary, less noise and closer result to the original image. After the reflectance information of cucumber leaves was obtained, the vegetation indexes, RVI, NDVI and GNDVI, were calculated and then the correlation coefficients between each vegetation index and nitrogen content or leave area were analyzed. The result shows that there is an obvious linear correlation between NDVI and nitrogen content of leaves or leave area and the R~2 are 0. 820 9 and 0. 701 7, respectively. The high correlations were also observed between GNDVI and nitrogen content of leaves or leave area, and the R~2 are 0. 762 5 and 0. 676 2, respectively. The reason is that the reflectance of IR is mainly affected by reflectivity and the canopy structure of cucumber leaves. As biomass and area of leaves increase with the nitrogen content, the reflectivity of leaves becomes stronger. And the gap among cells of high nitrogen content leaves is large. Cell wall has more water, which has a strong effect on the reflectivity of NIR. At visible wavelength, the reflectance of cucumber leaves decreases as nitrogen content increases since the chlorophyll content increases as nitrogen content increases. The trend of correlation between RVI and nitrogen content disagreed with that of the correlation between RVI and leave area. There is an obvious linear correlation between RVI and leave area, and the R~2 is 0. 857 7. However, the correlations between RVI and nitrogen content exhibit a nonlinear relationship, and R~2 is only 0. 598 8. It is because as cucumbers grow older, the reflectance of canopy increases at visible wavelength but decreases at near infrared wavelength. The experimental result proves that CCD camera and special filters can be used as a good method for diagnosing nitrogen content of cucumber plants.