A. Kurekin

发表

Deriving Aquaculture indicators from Earth Observation in the AQUA-USERS project ( AQUAculture USEr driven operational Remote Sensing information Services )

André B. Couto, V. Brotas, S. Huber, 2014 .

Sensitivity of a Satellite Algorithm for Harmful Algal Bloom Discrimination to the Use of Laboratory Bio-optical Data for Training

P. I. Miller, V. Brotas, V. Martinez-Vicente, 2020, Frontiers in Marine Science.

Tools for Assessment and Planning of Aquaculture Sustainability DELIVERABLE: 6.6 Earth Observation and model-derived aquaculture indicators report

K. Tsiaras, A. Kurekin, Benjamin, 2019 .

Review of Radar Altimetry Techniques over the Arctic Ocean: Recent Progress and Future Opportunities for Sea Level and Sea Ice Research

S. Hendricks, O. Andersen, R. Ricker, 2018 .

Implementing and Innovating Marine Monitoring Approaches for Assessing Marine Environmental Status

Roberto Danovaro, Laura Carugati, Marco Berzano, 2016, Front. Mar. Sci..

Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments

Bogdan J. Matuszewski, Andrey A. Kurekin, Lik-Kwan Shark, 2007, Pattern Recognit..

HABreports: Online Early Warning of Harmful Algal and Biotoxin Risk for the Scottish Shellfish and Finfish Aquaculture Industries

Sarah C. Swan, K. Davidson, D. Aleynik, 2021, Frontiers in Marine Science.

Operational Monitoring of Illegal Fishing in Ghana through Exploitation of Satellite Earth Observation and AIS Data

Andrey A. Kurekin, Peter I. Miller, D. Oliver Clements, 2019, Remote. Sens..

Internal Waves at the UK Continental Shelf: Automatic Mapping Using the ENVISAT ASAR Sensor

Andrey A. Kurekin, Peter I. Miller, Peter E. Land, 2020, Remote. Sens..

Analysis of classification accuracy for pre-filtered multichannel remote sensing data

Oleksiy B. Pogrebnyak, Andrey A. Kurekin, Vladimir V. Lukin, 2013, Expert Syst. Appl..

Approaches to Classification of Multichannel Images

Oleksiy B. Pogrebnyak, Andrey A. Kurekin, Nikolay N. Ponomarenko, 2006, CIARP.

Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives

Andrey A. Kurekin, Ole Baltazar Andersen, Robert Ricker, 2019, Remote. Sens..

Development of an ENVISAT Altimetry Processor Providing Sea Level Continuity Between Open Ocean and Arctic Leads

Andrey A. Kurekin, Pierre Thibaut, Graham D. Quartly, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Satellite discrimination of Karenia mikimotoi and Phaeocystis harmful algal blooms in European coastal waters: Merged classification of ocean colour data.

P. I. Miller, A. Kurekin, H. J. van der Woerd, 2014, Harmful algae.

Mitigation of image impairments for multichannel remote sensing data fusion

Andrey A. Kurekin, Vladimir V. Lukin, Alexander N. Dolia, 2005, SPIE Defense + Commercial Sensing.

A New DCT-based Multiresolution Method for Simultaneous Denoising and Fusion of SAR Images

Andrey A. Kurekin, Darren Radford, Dave Marshall, 2006, 2006 9th International Conference on Information Fusion.

Classification of Pre-Filtered Multichannel Remote Sensing Images

Nikolay N. Ponomarenko, Vladimir V. Lukin, Kacem Chehdi, 2012 .

Mitigation of sensor and communication system impairments for multichannel image fusion and classification

A. Kurekin, D. Marshall, D. Radford, 2005, 2005 7th International Conference on Information Fusion.

Erratum to “Satellite discrimination of Karenia mikimotoi and Phaeocystis harmful algal blooms in European coastal waters: Merged classification of ocean colour data” [Harmful Algae 31 (2014) 163–176]

P. I. Miller, H. Woerd, A. Kurekin, 2014 .

Satellite discrimination of Karenia mikimotoi and Phaeocystis harmful algal blooms in European coastal waters: Merged classification of ocean colour data.

P. I. Miller, A. Kurekin, H. J. van der Woerd, 2014, Harmful algae.