High resolution of global land cover dynamic is indicative for understanding the influence of
anthropogenic activity on environmental change. However, most of the land cover products …

The pixels of remote images often contain more than one distinct material (mixed pixels),
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …

Thoroughly investigating the characteristics of new generation hyperspectral and high
spatial resolution spaceborne sensors will advance the study of agricultural crops …

Benefiting from the high spectral resolution, hyperspectral image (HSI) owns the property of
discriminating material. However, the spatial resolution of HSIs is limited by the hardware …

The task of hyperspectral images (HSIs) target detection is to identify whether the target
spectral sequences present in the HSI. Recently, the topic of representation models has …

The issue of mixed pixels is a prevalent challenge in hyperspectral images (HSIs), largely
due to imaging modalities and hardware limitations. Subpixel mapping (SPM) can address …

Unsupervised subpixel mapping (SPM) of hyperspectral image (HSI) is a challenging task
due to the difficulties to integrate different prior information and model constraints into a …

Super-resolution mapping (SRM) is an effective way to alleviate the mixed pixel problem of
remotely sensed imagery by transforming the coarse-resolution fraction image originating …

This paper put forward a nonlinear hyperspectral imagery unmixing method based on
Hapke nonlinear spectral mixture model and the relevance vector regression. This paper …