光学仪器, 2017, 39 (5): 35, 网络出版: 2017-12-01  

基于多光谱图像选取马铃薯叶片的最佳彩色波段组合

Selecting best color band combinations for potato leaves based on multi-spectral images
作者单位
云南师范大学 物理与电子信息学院, 云南 昆明 650500
摘要
为了快速目测识别马铃薯叶片,利用Spectrocam多光谱相机获取健康C-88马铃薯叶片的可见光及近红外通道的多光谱图像。采用波段指数法提取叶片的特征波段,通过真彩色原理及标准假彩色对所提取的特征波段进行彩色合成,在此基础上得到最佳彩色波段组合。实验结果表明,用波段指数法提取多光谱图像的特征波段进行彩色合成,能快速获取马铃薯叶片的最佳波段,并得到680,558,475 nm和800,680,558 nm为最佳彩色波段组合,为遥感图像的目视解译和更多有效信息的提取提供了可靠依据。
Abstract
In order to identify the potato leaves rapidly,we use a Spectrocam multispectral camera to capture multispectral images of the healthy C-88 potato leaves in visible light and near infrared channels.The characteristics of the leaves are obtained by the band index method,and then color synthesis is carried out based on the principle of true color and false color.Using the above experiments,we obtain the best color band combinations.Experimental results show that extracting the characteristics of the leaves through the band index method and then finishing color synthesis can quickly yield the best color band combinations.The bands 680,558,475 nm and the bands 800,680,558 nm are the best color band combinations.The study provides reliable criteria for the visual interpretation of remote sensing images and the extraction of more effective information.

刘鑫, 冯洁, 杨舒明. 基于多光谱图像选取马铃薯叶片的最佳彩色波段组合[J]. 光学仪器, 2017, 39(5): 35. LIU Xin, FENG Jie, YANG Shuming. Selecting best color band combinations for potato leaves based on multi-spectral images[J]. Optical Instruments, 2017, 39(5): 35.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!