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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。
Frost damage is one of the meteorological disasters causing heavy losses of agricultural production in China, posing a serious threat to the domestic food safety in production. The characteristics of wheat coverage before and after frost damage were extracted by using image processing technology. The spectral characteristics of wheat before and after frost damage were studied by hyperspectral technique and the sensitive bands of remote sensing were determined. The results show that the green and red light in the visible light band can be used to diagnose frost damage stress, especially in the locations of green and red valley; the near infrared band is the sensitive area to judge frost damage. In summary, the combination of spectral analysis and image processing techniques for the field of frost damage characteristics of wheat field extraction is feasible.