Anomaly detection is an important task in hyperspectral remote sensing. Most widely used
detectors, such as Reed-Xiaoli (RX), have been developed only using original spectral …

Traditional hyperspectral target detection methods use spectral domain information for target
recognition. Although it can effectively retain intrinsic characteristics of substances, targets in …

Bistatic synthetic aperture radar (BiSAR), which can break through the limitations of the
conventional monostatic SAR on forward-looking imaging, continues to gain in significance …

Anomaly targets in a hyperspectral image (HSI) are often multi-pixel, rather than single-pixel,
objects. Therefore, algorithms using a test point vector may ignore the spatial characteristics …

Moving target indication (MTI) in bistatic synthetic aperture radar (BiSAR) is a promising task
in both civilian and military fields. However, it suffers severe challenges under the influence …

In this paper, an extended fast factorized back projection (FFBP) algorithm is proposed to
focus the missile-borne bistatic forward-looking synthetic aperture radar (BFSAR) data. It is …

The use of a transform domain is usually helpful to improve the performance of
hyperspectral anomaly detection (AD). By fractional Fourier transform (FrFT), the signals …

The fractional Fourier transform (FRFT) is a generalization of the Fourier transform. The
FRFT can characterize signals in multiple fractional domains and provide new perspectives …

This paper deals with the problem of fast focusing the spotlight synthetic aperture radar
(SAR) data in high-resolution and high-squint mode, which has shown its potential capacity …

The restricted physical antenna aperture usually degrades the acquisition of target images
with high azimuth resolution in radar forward-looking sight. To make breakthrough on this …