期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Citrus black spot detection using hyperspectral imaging 被引量:4
1
作者 Daegwan Kim Thomas F.Burks +1 位作者 Mark A.Ritenour Jianwei Qin 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2014年第6期20-27,共8页
This paper describes the development of a hyperspectral imaging approach for identifying fruits infected with citrus black spot(CBS).Hyperspectral images were taken of healthy fruit and those with CBS symptoms or othe... This paper describes the development of a hyperspectral imaging approach for identifying fruits infected with citrus black spot(CBS).Hyperspectral images were taken of healthy fruit and those with CBS symptoms or other potentially confounding peel conditions such as greasy spot,wind scar,or melanose.Spectral angle mapper(SAM)and spectral information divergence(SID)hyperspectral analysis approaches were used to classify fruit samples into two classes:CBS or non-CBS.The classification accuracy for CBS with SAM approach was 97.90%,and 97.14% with SID.The combination of hyperspectral images and two classification approaches(SID and SAM)have proven to be effective in recognizing CBS in the presence of other potentially confounding fruit peel conditions.The study result can be a reference for the non-destructive detection of fruits infected with citrus black spot. 展开更多
关键词 citrus black spot hyperspectral imaging spectral angle mapper spectral information divergence imaging processing
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部