This letter adopts long short-term memory (LSTM) to predict sea surface temperature (SST),
and makes short-term prediction, including one day and three days, and long-term prediction…

This letter presents a novel change detection method for multitemporal synthetic aperture
radar images based on PCANet. This method exploits representative neighborhood features …

Underwater exploration has become an active research area over the past few decades. The
image enhancement is one of the challenges for those computer vision based underwater …

Sea surface temperature (SST) prediction is not only theoretically important but also has a
number of practical applications across a variety of ocean-related fields. Although a large …

Considering the ill-posed nature, contrastive regularization has been developed for single
image dehazing, introducing the information from negative images as a lower bound. However…

Heavy metals have always been a research hotspot due to their persistence, hazard and
bioaccumulation. Microorganisms are highly sensitive to heavy metal pollution and play an …

Deep learning has recently achieved great success in many areas due to its strong capacity
in data process. For instance, it has been widely used in financial areas such as stock …

Since about 100 years ago, to learn the intrinsic structure of data, many representation
learning approaches have been proposed, either linear or nonlinear, either supervised or …

With increasing attentions being drawn to the underwater observation and utilization of marine
resources in recent years, underwater image processing and analysis have become an …

Traditional multi-objective optimization evolutionary algorithms (MOEAs) do not usually meet
the requirements for online data processing because of their high computational costs. This …