Ocean wind and wave parameters can be measured by in-situ sensors such as
anemometers and buoys. Since the 1980s, X-band marine radar has evolved as one of the …

Since rain alters the histogram pattern of radar images, rain-contaminated radar data can be
identified. In this article, a support vector machine (SVM)-based method for rain detection …

Spatial–temporal features are extracted from X-band marine radar backscatter image
sequences via deep neural networks to estimate sea surface significant wave heights …

This work analyses wave groupiness features in the three-dimensional spatio-temporal
domain by using sea surface information acquired by common X-band marine radars. The …

In this paper we propose to apply the Support Vector Regression (SVR) methodology to
significant wave height estimation using the shadowing effect, that is visible on the X-band …

In this article, a temporal convolutional network (TCN)-based model is proposed to retrieve
significant wave height () from X-band nautical radar images. Three types of features are first …

Mapping the morphology of intertidal areas is a logistically challenging, time consuming and
expensive task due to their large expanse and difficulties associated with access. A …

Directional wave spectra and integrated wave parameters can be derived from X-band radar
sea surface images. The calibration of such spectra has until now depended on various …

Significant wave height (H s) is a basic parameter in wave characterization, important for
different problems in marine activities such as the design and management of vessels …

Imaging technology enhances radar environment awareness. Imaging radar can provide
richer target information for traffic management systems than conventional traffic detection …