Scientific, Technical and Economic Committee for Fisheries. Evaluation of fishing effort regimes regarding annexes IIA, IIB and IIC of TAC & Quota regulations, Celtic Sea and Bay of Biscay (STECF-11-13)

EWG-11-11 meeting was held on 26 – 30 September 2011 in Cadiz (Spain). This report covers the Annexes IIA, IIB and IIC of TAC & Quota Regulations, Celtic Sea and Bay of Biscay and provides fleet specific trends in catch (including discards), nominal effort and catch (landings) per unit of effort in order to advise on fleet specific impacts on stocks under multiannual management plans. STECFreviewed the report during its November 2011 plenary meeting

Scientific, Technical and Economic Committee for Fisheries. Evaluation of fishing effort regimes in Baltic Sea (STECF-11-11)

EWG-11-11 meeting was held on 26 – 30 September 2011 in Cadiz (Spain). This Section of the report covers the Baltic Sea and provides fleet specific trends in catch (including discards), nominal effort and catch (landings) per unit of effort in order to advise on fleet specific impacts on stocks under multiannual management plans. STECF reviewed the report during its November 2011 plenary meeting

A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification

Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. The newest techniques have been applied to improve the final LULC classification and most of them are based on SVM classifiers. In this paper, a new method based on a multiple classifiers ensemble to improve LULC map accuracy is shown. The method builds a statistical raster from LIDAR and image fusion data following a pixel-oriented strategy. Then, the pixels from a training area are used to build a SVM and k-NN restricted stacking taking into account the special characteristics of spatial data. A comparison between a SVM and the restricted stacking is carried out. The results of the tests show that our approach improves the results in the context of the real data from a riparian area of Huelva (Spain)

Scientific, Technical and Economic Committee for Fisheries (STECF)-Evaluation of Fishing Effort Regimes in European Waters Part 1 (STECF-12-09)

Informe de reunió

Scientific, Technical and Economic Committee for Fisheries. Evaluation of fishing effort regimes - Deep sea and Western waters (STECF-11-12)

EWG-11-11 meeting was held on 26 – 30 September 2011 in Cadiz (Spain). This Section of the report covers the Deep Sea and Western Waters and provides fleet specific trends in catch (including discards), nominal effort and catch (landings) per unit of effort in order to advise on fleet specific impacts on stocks under multiannual management plans. STECF reviewed the report during its November 2011 plenary meeting

Text Extraction Using Component Analysis and Neuro-fuzzy Classification on Complex Backgrounds

This paper proposes a new technique for text extraction on complex color documents and cover books. The novelty of the proposed technique is that contrary to many existing techniques, it has been designed to deal successfully with documents having complex background, character size variations and different fonts. The number of colors of each document image is reduced automatically into a relative small number (usually below ten colors) and each document is divided into binary images. Then, connected component analysis is performed and homogenous groups of connected components (CCs) are created. A set of features is extracted for each group of CCs. Finally each group is classified into text or non-text classes using a neuro-fuzzy classifier. The proposed technique can be summarized into four consequent stages. In the first stage, a pre-processing algorithm filters noisy CCs. Afterwards, CC grouping is performed. Then, a set of nine local and global features is extracted for each group and finally a classification procedure detects document’s text regions. Experimental results prove the efficiency of the proposed technique, which can be further extended to deal with even more complex text extraction problems.JRC.DG.G.4-Maritime affair