The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …

Edge-preserving features (EPFs) obtained by the application of edge-preserving filters to
hyperspectral images (HSIs) have been found very effective in characterizing significant …

摘要受高光谱成像仪低空间分辨率及复杂地物的影响, 高光谱遥感图像存在大量混合像元.
为提高地表分类精度以及满足亚像元级目标探测的需求, 混合像元分解技术一直是高光谱遥感 …

Data acquired from multichannel sensors are a highly valuable asset to interpret the
environment for a variety of remote sensing applications. However, low spatial resolution is …

Hyperspectral imaging is gaining a significant role in agricultural remote sensing
applications. Its data unit is the hyperspectral cube which holds spatial information in two …

In this paper, we propose two deep learning (DL) based receiver schemes in uplink multiple-
input multiple-output (MIMO) systems. In the first scheme, we design a pilot-assisted MIMO …

Owing to the complicated and heterogeneous distribution characteristics of wetland features,
the existing hyperspectral technology is difficult to investigate the inner-pixel subtle changes …

The spectral variability problem is a big challenge in hyperspectral unmixing. Endmember
bundles have been used to address the spectral variability problem by adopting a bundle of …

Exploring techniques that breakthrough the unknown space or material species is of
considerable significance to military and civilian fields, and it is a challenging task without …

While extensive research addressed the Bidirectional Reflectance Distribution Function
(BRDF) effect and approaches to correct it, too few works have considered the influence of …