CAJ | 학술논문

基于特征基元分类和基于像元分类的研究对象不同，训练样本数量的选择也有很大的区别。采用高分辨率遥感影像数据，利用SVM分类器，通过实验得出：基于特征基元分类训练样本选取的数量在6～8倍于波段数目时分类精度就能达到较高的水平，并进入一个稳定阶段；而基于像元分类训练样本选取数量在24～30倍于波段数时分类精度才达到较高的水平。
기우특정기원분류화기우상원분류적연구대상불동，훈련양본수량적선택야유흔대적구별。채용고분변솔요감영상수거，이용SVM분류기，통과실험득출：기우특정기원분류훈련양본선취적수량재6～8배우파단수목시분류정도취능체도교고적수평，병진입일개은정계단；이기우상원분류훈련양본선취수량재24～30배우파단수시분류정도재체도교고적수평。
The research objects between the classification based on the feature per -parcel and pixel are dif-ferent;there is a big difference in the choice of the number of training samples .In this paper , using high-resolution remote sensing image data and the classifier of SVM , the experiment showed that the accuracy can reach a high level based on feature per -parcel classification when the number of samples reach to 6-8 times of the band numbers and enter a stable phase;but the accuracy can reach a high level based on pixel when the number of samples reach to 24-30 times of the band numbers .