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| 基于多光谱图像的水稻穗颈瘟严重度识别研究 | |
| 引用本文： | 张浩,姚旭国,毛雪琴,张震,郑可锋.基于多光谱图像的水稻穗颈瘟严重度识别研究[J].湖南农业科学,2009(1). |
| 作者姓名： | 张浩 姚旭国 毛雪琴 张震 郑可锋 |
| 作者单位： | 1. 农业部资源遥感与数字农业重点开放实验室,北京100081;浙江省农业科学院数字农业研究中心,浙江杭州310021 2. 浙江省农业科学院数字农业研究中心,浙江杭州,310021 3. 浙江省农业科学院植物保护与微生物研究所,浙江杭州,310021 |
| 基金项目： | 农业部资源遥感与数字农业重点开放实验室开放课题，国家自然科学基金 |
| 摘 要： | 为实时获取作物病害程度信息,研究了水稻穗颈瘟的多图像分割方法,并利用分割结果来估测穗颈瘟的发病程度.由于图像中背景复杂,从获取的多光谱图像中提取IR、R、G分量,难以将水稻穗颈从背景中分割出来.采用IR-G和2IR-R-G分割方法将水稻穗预从图像中分离出来,31幅图像中水稻穗颈灰度值与病情指数呈极显著线性相关,由此建立了水稻穗颈瘟严重度的多光谱图像预测模型,实现了对水稻水稻穗颈瘟的快速、准确、非破坏性检测. |
| 关 键 词： | 多光谱图像 分割方法 水稻 穗颈瘟 |
Measurement of Rice Neck Blasts Severity by Using Multi-spectral Imagine |
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| ZHANG Hao,YAO Xu-guo,MAO Xue-qin,ZHANG Zhen,ZHENG Ke-feng.Measurement of Rice Neck Blasts Severity by Using Multi-spectral Imagine[J].Hunan Agricultural Sciences,2009(1). | |
| Authors: | ZHANG Hao YAO Xu-guo MAO Xue-qin ZHANG Zhen ZHENG Ke-feng |
| Institution: | 1. Key Laboratory of Resources Remote Sensing & Digital Agriculture;Ministry of Agriculture;Beijing 100081;PRC;2. Center for Digital Agricultural Research;Zhejiang Academy of Agricultural Sciences;Hangzhou 310021;3. Institute of Plant Protection and Microbiology;PRC |
| Abstract: | In order to instantly acquire the information of disease degree of plant diseases and pests,a method of segmentation of multi-spectral image of rice neck blasts was proposed. The disease degree of rice neck blast could be calculated by the results of image segmentation. It was difficult to segment rice neck blast based on IR,R,and G imagines from complicated background by conventional calculating ways. Then IR-G and 2IR-R-G images were used to segment the rice neck blast from background. The result showed t... |
| Keywords: | multi-spectral imagine segmented method rice neck blast |
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