Andrey Kurekin

Andrey Kurekin
Plymouth Marine Laboratory | PML

PhD

About

75
Publications
12,304
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664
Citations

Publications

Publications (75)
Article
Full-text available
With the unprecedented expansion of aquaculture around the world, there is a critical need to monitor its progress. In Palawan, Philippines, coastal aquaculture is gaining momentum towards increasing fish production, a pressure that presents a challenge to the sustainability of these areas. In this paper, we explore the application of Earth observa...
Article
Full-text available
We present an on-line early warning system that is operational in Scottish coastal waters to minimize the risk to humans and aquaculture businesses in terms of the human health and economic impacts of harmful algal blooms (HABs) and their associated biotoxins. The system includes both map and time-series based visualization tools. A “traffic light”...
Article
Full-text available
Early detection of dense harmful algal blooms (HABs) is possible using ocean colour remote sensing. Some algorithms require a training dataset, usually constructed from satellite images with a priori knowledge of the existence of the bloom. This approach can be limited if there is a lack of in situ observations, coincident with satellite images. A...
Article
Full-text available
This paper addresses the issue of how the selection of buoys and the calculation of altimeter averages affect the metrics characterising the errors of altimetric wave height estimates. The use of a 51-point median reduces the sensitivity to occasional outliers, but the quality of this measure can be improved by demanding that there is a minimum num...
Article
Full-text available
Oceanic internal waves occur within stratified water along the boundary between water layers of different density and are generated when strong tidal currents flow over seabed topography. Their amplitude can exceed 50 m and they transport energy over long distances and cause vertical mixing when the waves break. This study presents the first fully...
Article
Full-text available
Radar altimeters have been measuring ocean significant wave height for more than three decades, with their data used to record the severity of storms, the mixing of surface waters and the potential threats to offshore structures and low-lying land, and to improve operational wave forecasting. Understanding climate change and long-term planning for...
Technical Report
Full-text available
Space available for aquaculture, in Europe as elsewhere, is in limited supply and high demand. Additional tools are required to support the identification of potential new sites and to assess their suitability and sustainability for various aquaculture segments. In this report, various aquaculture indicators that were derived using satellite Earth...
Article
Full-text available
Spaceborne radar altimeters record echo waveforms over all Earth surfaces, but their interpretation and quantitative exploitation over the Arctic Ocean is particularly challenging. Radar returns may be from all ocean, all sea ice, or a mixture of the two, so the first task is the determination of which surface and then an interpretation of the sign...
Article
Full-text available
Over the last decade, West African coastal countries, including Ghana, have experienced extensive economic damage due to illegal, unreported and unregulated (IUU) fishing activity, estimated at about USD 100 million in losses each year. Illegal, unreported and unregulated fishing poses an enormous threat to the conservation and management of the dw...
Article
Full-text available
There are numerous needs for monitoring sea level and sea ice in the Arctic, ranging from concern about changes in ice cover being both an indicator and a driver of long-term climate change to shipping interest in alternative routes and the associated risks to the safety of vessels and crew. Furthermore, sea level relative to the geoid allows us to...
Article
Full-text available
Over the Arctic regions, current conventional altimetry products suffer from a lack of coverage or from degraded performance due to the inadequacy of the standard processing applied in the ground segments. This paper presents a set of dedicated algorithms able to process consistently returns from open ocean and from sea-ice leads in the Arctic Ocea...
Conference Paper
Full-text available
Events of poor water quality due to increase of E. coli or marine toxin concentrations can result in temporary closures of shellfish aquaculture harvesting. This can lead to substantial financial loss for the aquaculture business and reduced consumer confidence in shellfish products. The ‘ShellEye’ project aims to provide shellfish farmers with ear...
Article
Full-text available
Marine environmental monitoring has tended to focus on site-specific methods of investigation. These traditional methods have low spatial and temporal resolution and are relatively labor intensive per unit area/time that they cover. To implement the Marine Strategy Framework Directive (MSFD), European Member States are required to improve marine mo...
Article
Coastal zones and shelf-seas are important for tourism, commercial fishing and aquaculture. As a result the importance of good water quality within these regions to support life is recognised worldwide and a number of international directives for monitoring them now exist. This paper describes the AlgaRisk water quality monitoring demonstration ser...
Article
Full-text available
The detection of dense harmful algal blooms (HABs) by satellite remote sensing is usually based on analysis of chlorophyll-a as a proxy. However, this approach does not provide information about the potential harm of bloom, nor can it identify the dominant species. The developed HAB risk classification method employs a fully automatic data-driven a...
Article
Noise is one of the main factors degrading the quality of original multichannel remote sensing data and its presence influences classification efficiency, object detection, etc. Thus, pre-filtering is often used to remove noise and improve the solving of final tasks of multichannel remote sensing. Recent studies indicate that a classical model of a...
Data
Several main practical tasks, important for effective pre-processing of multichannel remote sensing (RS) images, are considered in order to reliably retrieve useful information from them and to provide availability of data to potential users. First, possible strategies of data processing are discussed. It is shown that one problem is to use more ad...
Article
Open acces: http://www.intechopen.com/books/remote-sensing-advanced-techniques-and-platforms/classification-of-pre-filtered-multichanel-rs-images
Conference Paper
Several main practical tasks, important for effective pre-processing of multichannel remote sensing (RS) images, are considered in order to reliably retrieve useful information from them and to provide availability of data to potential users. First, possible strategies of data processing are discussed. It is shown that one problem is to use more ad...
Article
By using multimodal remote-sensing images and digital terrain data of the environment, this study presents a new method for generating the clutter map specific to the selected land radar site and the radar's operating parameters. In the proposed method, the estimation of backscattering from the environment involves extrapolation of the airborne rad...
Article
A typical tendency in modern remote sensing (RS) is to apply multichannel systems. Images formed by them are in more or less degree noisy. Thus, their pre-filtering can be used for different purposes, in particular, to improve classification. In this paper, we consider methods of multichannel image denoising based on discrete cosine transform (DCT)...
Article
This paper extends the range of radar remote sensing applications by considering the application of remote sensing radar images for site-specific land clutter modelling. Data fusion plays a central role in our approach, and enables effective combination of remote sensing radar measurements with incomplete information about the Earth's surface provi...
Article
Full-text available
Multichannel remote sensing (MRS) data can be passed to customers in different forms: original (raw), pre-filtered, compressed, classified. In this paper, we analyze how pre-filtering of original images can influence classification accuracy of three-channel images using three channels of real life Landsat TM data with simulated noise.
Article
Full-text available
Remote sensing images are commonly formed on-board an observation platform, then transferred via a communication downlink, and finally processed on-land. There are many ways of compressing and then classifying remote sensing images. In this paper we focus on considering two lossy compression techniques under the assumption that the original images...
Article
By extending the previously proposed geometric branch-and-bound algorithm with bounded alignment for point pattern matching, the paper presents the development and evaluation of a new and fast algorithm for image registration based on line segments. Using synthetically generated data sets with randomly distributed line segments and hard test cases...
Conference Paper
Full-text available
The comparison of different approaches to classification of multichannel remote sensing images obtained by spaceborne imaging systems is presented. It is demonstrated that it is reasonable to compress original noisy images with appropriate compression ratio and then to classify the decompressed images rather than original data. Two classifiers are...
Conference Paper
Full-text available
The application of multichannel radar measurement techniques for estimation of bare soil parameters is based on different principles of radiowave and soil surface interaction depending on radiowave frequency, polarisation and incidence angle. The accuracy of soil parameter estimation depends on the number of radar measurements and the choice of rad...
Article
Full-text available
Individual multiresolution techniques for separate image fusion and denoising have been widely researched. We propose a novel multiresolution Discrete Cosine Transform based method for simultaneous image denoising and fusion, demonstrating its efficacy with respect to Discrete Wavelet Transform and Dual-Tree Complex Wavelet Transform. We incorporat...
Conference Paper
Full-text available
A task of frequency modulated (FM) signal filtering by means of robust DFT is considered. It is shown that in the case of non-Gaussian noise with symmetric heavy-tailed pdf a standard DFT cannot efficiently suppress outliers that contaminate the signal. Three robust DFT forms are described and the procedure adaptive to tail behavior based on the my...
Conference Paper
The standard linear algorithm for synthetic aperture radar (SAR) image synthesis consists of fusing the real and imaginary components of the hologram data, and applying a matched filter to the radar returns from each point to generate the SAR image. This algorithm becomes inefficient when the SAR hologram data are corrupted by impulse noise due to...
Conference Paper
The impairments produced in image sensors and communication channels degrade image quality and introduce significant errors in the results of data fusion. To improve image fusion results in the presence of different types of impairments we propose a two-stage approach. New multistage nonlinear locally-adaptive image processing algorithms are develo...
Article
Whilst for the majority of applications image quality depends on sensor accuracy and principles of image formation, in remote sensing systems information is also degraded by communication errors. To improve image fusion results in the presence of communication and sensor impairments we propose a two-stage approach. Preliminary nonlinear locally-ada...
Article
Whilst for the majority of applications image quality depends on sensor accuracy and principles of image formation, in remote sensing systems information is also degraded by communication errors. To improve image fusion results in the presence of communication and sensor impairments we propose a two-stage approach. Preliminary nonlinear locally-ada...
Article
Full-text available
This technical report contains basic materials and results obtained during two-year period of execu-tion of the Project “Development of Multichannel Methods for Ecologic Remote Monitoring, Proc-essing and Interpretation of Soil Images” supported by Science and Technology Center of Ukraine (STCU), Grant No 1659. The Project Principal Executor is the...
Article
A new algorithm for multichannel radar image mutual superimposing (registration) and geometric correction is proposed. It uses ground control points (GCPs) selected manually or automatically for warp and base images and the branch-and-bound technique for initial estimation of geometric transform parameters. We show that due to taking into account t...
Conference Paper
Full-text available
The reconstruction of 1-D signal waveform from noisy bispectrum estimations in case of a limited ensemble realization number and low input SNRs leads to considerable output errors. In order to improve the signal bispectrum estimations we propose to smooth the obtained bispectrum estimations. The methods based on vector filter application to 2-D com...
Article
A modified vector sigma-filter (MVSF) is presented designed for the processing of multichannel radar images. Based on the standard filtration quality-estimation criteria it is shown that the modification ensures a compromise between the basic properties of the filter. Having a sufficient stability as to disturbances, the MVSF allows substantially s...
Article
Methodology and stages of data processing in multichannel airborne radar imaging systems are considered. It is shown that data fusion in such systems requires special techniques, algorithms, and software for image processing and information retrieval. Some approaches and methods are proposed. The results are demonstrated for simulated and real imag...
Article
A novel vector filter called modified vector sigma filter is proposed for processing the multichannel remote sensing radar images. It is demonstrated through simulations and real data examples that the proposed filter is able to provide an excellent combination of properties. It possesses efficient suppression of multiplicative noise and good edge...
Conference Paper
Full-text available
An approach to neural network (NN) application to image local recognition based on several statistical parameter evaluations in a scanning window and their further joint analysis is put forward. Ways to deal with the images corrupted by dominant multiplicative or additive noise are discussed. The NN learning and structure selection methodologies ar...
Article
A novel algorithm based on the sigma filter for processing multicomponent images is proposed. The noise suppression ability of the proposed vector filtering algorithm is better than, e.g., that of the standard sigma filter. Moreover, the added modifications make the filter able to remove impulsive noise. The proposed vector filter takes into accoun...
Conference Paper
Full-text available
Several efficient component and vector filters applicable for processing multichannel and color images are compared quan- titatively. The cases of Gaussian and mixed Gaussian and im- pulsive noise are considered. It is shown that in situations typi- cal for practice the best results are provided by a vector double- window modified trimmed mean filt...
Article
The paper analyses properties of the JPEC (Joint Photographic Experts Group) algorithm used to compress SAR information. Experimental studies of the application of the JPEC algorithm to the compression of holograms and images were performed for real data acquired from aircraft; synthetic aperture radar. The statistical characteristics of the errors...
Article
The multistage procedure of multichannel image pre- and post- processing is proposed. It includes nonlinear image-to-image and image-to-topology map superimposing with optimization of transform parameters, image separate and vector filtering for remained error reduction and image enhancement. Then the image preliminary recognition is to be performe...
Conference Paper
The multichannel (i.e. multifrequency or multipolarization) radar images provide an opportunity to increase the probability of correct identification of remote sensing data and to solve some practical tasks when it is difficult to retrieve information from one-channel images. But, at the same time, many new applied problems arise dealing with the n...
Conference Paper
MM-band radar and radiometric images are usually corrupted by data-dependent noise (with Gaussian distribution) being, for instance, the mixture of additive and multiplicative components. This causes problems in direct application of many filtering algorithms specially designed for the cases of dominant influence of additive or multiplicative noise...
Article
A method for isogram extraction from topographic maps is proposed and analyzed. Main part of the extraction is done using automatic software based on nonlinear algorithms. Possibly needed final corrections are done in an interactive mode. Iterative procedures are used both to provide reliability and to minimize the number of operations performed by...
Article
The results of experiments for soil erosion determination with the use of dual-polarization radar set at wavelengths of 3 and 0.8 cm are presented. It is shown that the specific radar cross-section (RCS) is a function of soil erosion at the range of incidence angles from 35 degrees to 60 degrees. The sensitivity of soil backscattering to erosion is...
Article
Robust adaptive vector filtering algorithms applicable to color and multichannel image processing are proposed. They are based on the use of Q-parameter that is a vector analog of quasirange. Considered algorithms have a good combination of properties: effective noise reduction, ability to remove spikes, edge and detail preservation, and low comput...
Article
Here we consider the possibility of applying vector median filtering for joint processing of multichannel radar images. The goal is to correct distortions due errors in superimposing of channels. The proposed approach is a two-stage one. It takes into account the difference between statistical characteristics of images formed by side-look aperture...
Article
Theoretical background of the multichannel (multifrequency and multipolarization) approach to radar remote sensing soil moisture and erosion state estimation is presented. Possible variants of radar data acquisition and their processing are discussed, they are based on preliminary experimental investigation results. The necessary operations of imag...