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 …

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 …

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

Satellite images from the same scene observed over time can be composed in an image
stack, which could be modeled as a 3-D cube. To handle this type of remote sensing data …

Time series analysis, the study of time-ordered data, is an historic and accomplished
subfield of statistics. A great number of methods have been proposed for the analysis of time …

Change detection methods are frequently associated with wavelength-resolution synthetic
aperture radar (SAR) images for foliage-penetrating (FOPEN) applications (eg, the detection …

Este artigo apresenta uma técnica de detecção de mudanças CD (change detection) para
pilhas de imagens de radar de abertura sintética SAR (synthetic aperture radar) …

Signal detection is a fundamental task in the field of signal and image processing, being
pivotal for decision whether a signal is present or identify the different land cover type in …