高光谱图像(HSI) 具有纳米级的光谱分辨能力且同时对地物目标的光谱维和空间维进行联合成像
的优势, 能够精细化感知场景目标的本征判别属性, 在遥感探测, 医疗诊断和国防安全等具有重要 …

Recently, deep neural network (DNN)-based methods have achieved good results in terms
of the fusion of low spatial resolution hyperspectral (LR HS) and high spatial resolution …

HyperSpectral Image (HSI) has nanometer-level spectral discriminative ability, capturing the
spectral and spatial information of the ground objects simultaneously, within the integration …

Push-broom hyperspectral imaging systems often suffer from stripe artifacts. The
conventional methods treat the artifacts as noise and suppress narrow-stripe ones well but …

In this paper, a hyperspectral (HS) image super-resolution (SR) approach based on
attention convolutional bi-long short-term memory (ConvBiLSTM) network is proposed …

Owing to the efficiency in terms of the modeling of long-range dependencies, transformer-
based spectral reconstruction methods have produced satisfactory hyperspectral (HS) …