Hyperspectral imagery with very high spectral resolution provides a new insight for subtle
nuances identification of similar substances. However, hyperspectral target detection faces …

In this article, anomaly detection is considered for hyperspectral imagery in the Gaussian
background with an unknown covariance matrix. The anomaly to be detected occupies …

In this article, a two-stream convolutional network-based target detector (denoted as
TSCNTD) for hyperspectral images is proposed. The TSCNTD utilizes the two-stream …

Hyperspectral–multispectral image (HSI-MSI) fusion relies on a robust degradation model
and data prior, where the former describes the degeneration of HSI in the spectral and …

Characterized by tremendous spectral information, hyperspectral image is able to detect
subtle changes and discriminate various change classes for change detection. The recent …

As hyperspectral imagery (HSI) contains rich spectral and spatial information, a novel
principal component analysis (PCA) and segmented-PCA (SPCA)-based multiscale 2-D …

Hyperspectral target detection (HTD) is an important issue in Earth observation, with
applications in both military and civilian domains. However, conventional representation …

Detecting subpixel targets is a considerably challenging issue in hyperspectral image
processing and interpretation. Most of the existing hyperspectral subpixel target detection …

Given the prior information of the target, hyperspectral target detection focuses on exploiting
spectral differences to separate objects of interest from the background, which can be …

To alleviate the shortcomings of target detection in only one aspect and reduce redundant
information among adjacent bands, we propose a spectral–spatial target detection (SSTD) …