Spatial Spectral Kernel Sparse Representation for Hyperspectral Image Classifica

稀疏表示多模态生物特征识别的一般框架，黄增喜，刘怡光，近年来，稀疏表示分类器被广泛用于各模式分类问题中，表现出了优异的性能。本文将介绍稀疏表示用于多模态生物特征识别的三种一般

Range profile target recognition using sparse representation based on feature space

迁移学习方法，用于图像分类，CVPR 2008

下面是我写的 NSCT-PCNN 图像融合程序，论文见： 屈小波, 闫敬文, 肖弘智, 朱自谦.非降采样Contourlet域内空间频率激励的PCNN图像融合算法.自动化学报，Vol.34, No.1

Several bandwise total variation (TV) regularized low-rank (LR)-based models have been proposed to r

Deep learning has recently attracted significant attention in the field of hyperspectral images (HSI

A three-dimensional (3D) wavelet coder based on 3D significance tree splitting is proposed for hyper

LCMV-based Real-time Hyperspectral Image Target Detection Algorithm

To apply decision level fusion to hyperspectral remote sensing (HRS) image classification, three dec

论文摘要:在无监督域适应中,一个关键的研究问题是跨域的联合分布对齐 。 但是, 直接 对齐的源和目标联合分布是不可行的, 因为目标条件分布的标签未知。结合边缘分布对齐(它是条件分布对齐的等价条件,而不