CAJ | 학술논문

[目的]研究选取稻飞虱为害后水稻叶片的有效特征波段，用于从大量成像光谱数据中快速识别和分类稻飞虱为害后的水稻叶片。[方法]实验采用多光谱成像系统对400~720 nm波段范围，每隔5 nm的稻飞虱为害后的水稻叶片进行多光谱成像。[结果]根据波段指数原理，计算得出波段515，510，710，555，630，535，505，530和595 nm具有较理想的波段指数值，这些波段信息量丰富、相关性小；实验通过两种分类方法分别对稻飞虱为害后的水稻叶片的分类精度予以计算，得出全波段和特征波段的分类精度均大于90.00%。[结论]这些选取的波段可以作为稻飞虱为害后水稻叶片的有效特征波段，可以用于从大范围农作物中快速识别和分类水稻叶片。
[목적]연구선취도비슬위해후수도협편적유효특정파단，용우종대량성상광보수거중쾌속식별화분류도비슬위해후적수도협편。[방법]실험채용다광보성상계통대400~720 nm파단범위，매격5 nm적도비슬위해후적수도협편진행다광보성상。[결과]근거파단지수원리，계산득출파단515，510，710，555，630，535，505，530화595 nm구유교이상적파단지수치，저사파단신식량봉부、상관성소；실험통과량충분류방법분별대도비슬위해후적수도협편적분류정도여이계산，득출전파단화특정파단적분류정도균대우90.00%。[결론]저사선취적파단가이작위도비슬위해후수도협편적유효특정파단，가이용우종대범위농작물중쾌속식별화분류수도협편。
[Objective] The aim of this study was to extract effective feature bands of damaged rice leaves by planthoppers to make identification and classification rapidly from great amounts of imaging spectral data. [Method] The experiment, using multi-spectral imaging system, acquired the multi-spectral images of damaged rice leaves from band 400 to 720 nm by interval of 5 nm. [Result] According to the principle of band index, it was calculated that the bands at 515, 510, 710, 555, 630, 535, 505, 530 and 595 nm were having high band index value with rich information and little correlation. Furthermore, the experiment used two classification methods and calcu-lated the classification accuracy higher than 90.00% for feature bands and ful bands of damaged rice leaves by planthoppers respectively. [Conclusion] It can be con-cluded that these bands can be considered as effective feature bands to identify damaged rice leaves by planthoppers quickly from a large scale of crops.