市场上出售的建筑涂料品种繁多, 型号和品质不尽相同。 利用高光谱技术区分不同品质的建筑涂料。 获取同一颜色四个不同品质、 不同品牌建筑涂料（品牌A, B, C, D）的近红外高光谱图像, 利用ANOVA(analysis of variance)方法发现1 283和2 447 nm为区分四个品牌涂料的最优波段。 构建比值指数R1 283/R2 447并对其结果进行阈值分割, 将分割结果与最大似然分类精度进行了对比。 结果表明除品牌C与D之间J-M距离外, 其他涂料间J-M距离均大于1.8; 而R1 283/R2 447指数分割精度最低为87.54%, 相应最大似然分类精度为95.63%, 其他品牌涂料阈值分割与最大似然分类精度均达到90%以上。 因此, R1 283/R2 447指数能够较好地区分不同品牌的建筑涂料。 该研究结果可为建筑涂料识别、 装修质量验收、 合格评定提供技术支持。

Architectural coatings sold in market fall into many categories which mean different models and qualities. The research plans to differentiate different kinds of architectural coatings in quality using hyperspectral technology. Near-Infrared hyperspectral images of four kinds of architectural coatings (in a descending quality order of brand A, B, C, and D) in same color were acquired. The optimal wavelengths were selected at 1 283 and 2 447 nm to differentiate the four kinds of coatings through ANOVA (Analysis of Variance) method. The band ratio index of R1 283/R2 447 was built and the results were segmented into the corresponding coatings, and the accuracies of segmentation were compared with that from Maximum Likely Classification (MLC). The results indicated all J-M distances are more than 1.8 except between C and D; the lowest accuracy of 87.54% in segmentation and 95.63% in MLC were both from brand D, and others’ accuracies all were over 90% in both ratio index and MLC. Therefore, the ratio index R1 283/R2 447 could be used to distinguish different kinds of architectural coatings. Also, the research could provide support for identification, quality acceptance, as well as conformity assessment of architectural coatings.