高光谱遥感是以成像光谱学为基础发展起来的一项综合性遥感技术, 它能够同步记录成像区域
内地物的空间信息和光谱信号, 故而也称为“成像光谱遥感”. 高光谱遥感所获取的数据称为“高 …

The sparse regression method is known for its ability to unmix hyperspectral data, but it can
be computationally expensive and accurately insufficient due to the large scale and high …

Hyperspectral unmixing (HSU), which aims to identify constituent materials and estimate the
corresponding proportions in a scene, is an essential research topic in remote sensing. Most …

Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers,
due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate …

Hyperspectral unmixing (HU) is considered one of the most important ways to improve
hyperspectral image analysis. HU aims to break down the mixed pixel into a set of spectral …

In this paper, we introduce a novel linear model tailored for semisupervised/library-based
unmixing. Our model incorporates considerations for library mismatch while enabling the …