机译:CNN-SVM:果蝇图像与复杂背景的分类方法
Colleges and Universities of Jiangxi Province Jiangxi Agricultural University Key Laboratory of Information Technology in Agriculture Nanchang 330045 People's Republic of China;
College of Computer and Information Engineering Jiangxi Agricultural University Nanchang 330045 People's Republic of China;
Colleges and Universities of Jiangxi Province Jiangxi Agricultural University Key Laboratory of Information Technology in Agriculture Nanchang 330045 People's Republic of China;
Software Institute Jiangxi Agricultural University Nanchang 330045 People's Republic of China;
College of Computer and Information Engineering Jiangxi Agricultural University Nanchang 330045 People's Republic of China;
Jiangxi Agricultural University Academic Office Nanchang 330045 People's Republic of China;
Software Institute Jiangxi Agricultural University Nanchang 330045 People's Republic of China;
feature extraction; pest control; learning (artificial intelligence); agricultural products; support vector machines; image classification; convolutional neural nets;
机译:FB-CNN:特征基于融合的Bilinear CNN,用于果蝇图像分类
机译:基于HRSVM-CNN分类器的高分辨率遥感图像的基于对象分类
机译:基于果蝇算法和双边滤波器优化的增强双树复小波的红外热像非参考图像降噪方法
机译:基于LS-SVM的果蝇优化算法的极化SAR图像分类器
机译:夏威夷树种类的无人机图像:MLC,RF和CNN监督分类的比较
机译:基于Otsu方法的复杂背景下无监督背景下红外图像坦克分割
机译:FB-CNN:特征基于融合的Bilinear CNN,用于果蝇图像分类