Oceanographers need to study, analyse and interpret the biological and physical characteristics of marine organisms in the waterbed and sea floor. Images and Videos are important source of information and aids for their study. However, there are unique set of constraints in underwater environment that have limited our ability to process underwater images. Some of the important constraints in un...

There is a persistent need for high resolution photographic images of the sea floor and associated biota for marine habitat classification and fisheries stock assessment. This paper presents a novel low cost Lagrangian imaging platform that offers high quality images with reduced operational demands in comparison to existing methodologies such as diver surveys, drop cameras, ship towed systems ...

This paper presents statistical models for the subaperture cross-correlation magnitude (SCM), a test statistic for ship detection which can be produced from single-look complex (SLC) synthetic aperture radar (SAR) data. The SCM is extracted from the complex cross-correlation between two subaperture images and provides enhanced contrast between coherent structures, such as marine vessels, and se...

The goal of this work is to apply a denoising image transformer remove the distortion from underwater images and compare it with other similar approaches. Automatic restoration plays an important role since allows increase quality images, without need for more expensive equipment. This critical example machine learning algorithms support marine exploration monitoring, reducing human interventio...

extensive research in the last decade has defined that most chronic diseases display dysregulation of multiple cell signaling pathways that have been linked to inflammation. neuroinflammation is reaction of living nervous tissue to injury. it may be initiated in response to neurological disease. including infection, traumatic brain injury, toxic metabolites and autoimmunity. the natural compoun...

This paper primarily investigates the possibility of using multi-level learning of sparse parts-based representations of US Marine postures in an outside and often crowded environment for training exercises. To do so, the paper discusses two approaches to learning partsbased representations for each posture needed. The first approach uses a two-level learning method which consists of simple clu...

A new approach is described to identify the dominant process (physical versus biological) in a pelagic marine ecosystem, from simple biological oceanographic field variables. The approach is based on quantification of the matching (M) between phytoplankton production (P) and losses, from field estimates of chlorophyll a (Chl) and P. Coefficient M is estimated for a wide range of oceanic and coa...

A total of 154 samples of marine (n=51) and freshwater fish (n=103) were obtained from fish markets in Elazig Province of eastern Turkey. These samples were tested for Campylobacter, Listeria and Salmonella using culturing and biochemical methods. Campylobacter failed to be detected in any freshwater or marine fish samples. Listeria was detected in 22 and 14 of gill and skin samples from freshw...

Historically though, 3D marine streamer acquisition has been forced to compromise spatial sampling in the name of efficiency and cost. This compromise translates to noise and degraded resolution when processing the data. A significant component of the seismic “noise” contaminating 3D images actually arises during processing, as an unfortunate and inescapable artifact from poor 3D spatial sampli...

Marine sponges are major habitat-forming organisms in coastal benthic communities and have an ancient origin in evolution history. Here, we report significant accumulation of polyphosphate (polyP) granules in three common sponge species of the Caribbean coral reef. The identity of the polyP granules was confirmed by energy-dispersive spectroscopy (EDS) and by the fluorescence properties of the ...