提出利用高光谱对哈密瓜坚实度进行检测的方法，对比分析了不同波段范围、不同预处理法、不同光程校正法和不同定量校正算法对哈密瓜坚实度预测模型准确度的影响.实验结果表明，在500~820 nm波段光谱区域，采用偏最小二乘法对经过标准正则变换校正的一阶微分处理的光谱建模效果较优，其校正集相关系数为0.873，校正均方根误差为4.18N，预测集相关系数为0.646，预测均方根误差为6.40N.研究表明，应用高光谱对哈密瓜坚实度的无损检测研究具有可行性.

In order to detect firmness of hamimelon, a method based on hyper spectral imaging technique is proposed. Effects of different wave bands, different preprocessing methods, different spectral correction methods and different quantitative methods on the predictive accuracy of the model for firmness are compared and analyzed. Experimental results show that in the spectral region between 500 to 820 nm, the partial least square model of the first derivative spectrum processed by standard normal variate gives the best prediction of firmness, with a correction sample correlation coefficient of 0.873, a lower root mean square errors of correction of 4.18 N, a prediction sample correlation coefficient of 0.646 and a root mean square errors of prediction of 6.40 N. The research indicutes that the hyperspectral imaging technique can be used for the nondestructive detection of firmness of hami melon.