冻害胁迫小麦的图谱特征解析研究  

Comparison of hyperspectal and imagery characteristics of freezing stress and normal wheat

作　　者：段运生[1,2] 张东彦[1,3] 黄林生[1] 赵晋陵[1] 

机构地区：[1]安徽大学计算智能与信号处理教育部重点实验室,安徽合肥230039 [2]安徽大学现代教育技术中心,安徽合肥230601 [3]北京农业信息技术研究中心,北京100097

出　　处：《红外与激光工程》2015年第7期2218-2223,共6页Infrared and Laser Engineering

基　　金：安徽省高等学校省级自然科学研究项目(KJ2013A026);安徽省自然科学基金(1308085QC58);国家自然科学青年基金(41301471);安徽大学博士科研启动项目

摘　　要：冻害是造成中国农业生产重大损失的气象灾害之一,对国内粮食安全生产造成严重威胁。利用图像处理技术提取冻害前后小麦的覆盖度特征,用高光谱技术研究冻害前后小麦的光谱变化特征并确定遥感诊断的敏感波段。研究结果表明:可见光波段的绿、红光可用于诊断冻害胁迫,尤其在绿峰与红谷位置表现明显;近红外波段是判断冻害胁迫的敏感区间。综上,光谱分析结合图像处理技术用于田间小麦冻害特征区间提取是可行的。Freezing stress is one of the meteorological disasters causing significant loss of agricultural production in China, and easily leads to serious threat for national crop security. Image processing technique was used to extract the coverage characteristics of freezing stress and normal wheat, while hyperspectral remote sensing technology was utilized to explore spectral changes of freezing stress and normal wheat and determine the sensitive recognition bands. The results indicated that the green and red bands in visible ranges are identification bands of freezing stress, especially in the green peak and red valley location; near-infrared bands are sensitive range to detect freezing stress. In conclusion, spectral analysis combination with image processing technology is feasible for analyzing and extracting freeze injury characteristics of wheat in the field.

关 键 词：地面覆盖度 冻害胁迫 高光谱和图像特征 小麦 

分 类 号：S127[农业科学—农业基础科学]