This study investigates a novel image morphology texture feature extraction method to
realize the demagnetization fault location and severity detection of double-sided permanent …

Synthetic aperture radar (SAR) is an efficient and widely used remote sensing tool.
However, data extracted from SAR images are contaminated with speckle, which precludes …

This paper presents five different statistical methods for ground scene prediction (GSP) in
wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used …

Abstract Two-dimensional (2-D) autoregressive moving average (ARMA) models are
commonly applied to describe real-world image data, usually assuming Gaussian or …

This article introduces the Rayleigh autoregressive moving average (RARMA) model, which
is useful to interpret multiple different sets of remotely sensed data, from wind measurements …

This letter introduces the Rayleigh generalized autoregressive score (Ray-GAS) model, a
dynamic model useful for synthetic aperture radar (SAR) data interpretation. It is derived …

How to reveal and fully use the information of" band, amplitude, polarization and phase" of
electromagnetic wave is the key science and technology issues for SAR imaging …

This paper proposes a new form of multivariate generalized gamma distribution and some
properties. This study aims to develop the MGG distribution using cumulative data from the …

This study proposes a zero-inflated Rayleigh seasonal autoregressive moving average
model with exogenous regressors (iRSARMAX) to model and forecast non-negative time …

Robust principal component analysis (RPCA) has been widely used for processing and
interpreting high-dimensional data in different applications such as data classification, face …