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Comparison of classification algorithms of images for the mapping of the land covering in Tasso Fragoso municipality, Brazil. Author(s): PEREIRA, P. R. M.; COSTA, F. W. D.; BOLFE, E. L.; MACARRINGE, L.; BOTELHO, A. C. Abstract. One of the main applications of satellite images is the characterization of terrestrial coverage, that from the use of classification techniques, allows the monitoring of spatial transformat... ... Repository: BDPA Publication year: 2021
A comparative analysis of attribute reduction algorithms applied to wet-blue leather defects classification. Author(s): AMORIM, W. P.; PISTORI, H.; JACINTO, M. A. C. This paper presents an attribute reduction comparative study on four linear discriminant analysis techniques: FisherFace, CLDA, DLDA and YLDA. The attribute reduction has been applied to the problem o... ... Repository: BDPA Publication year: 2009
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. Author(s): LI, G.; LU, D.; DUTRA, L.; BATISTELLA, M. This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band (Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for land-cover classification in a t... ... Repository: BDPA Publication year: 2012
Qualidade da classificação automática de imagens de sensoriamento remoto em trabalhos apresentados nas edições anteriores do SBSR. Author(s): SCHULTZ, B.; LUIZ, A. J. B.; SANCHES, I. D. A.; FORMAGGIO, A. R. Abstract: A study has been carried out considering 18 years of papers published in the Simpósio Brasileiro de Sensoriamento Remoto (Brazilian Remote Sensing Symposium) related to the subject of satell... ... Repository: BDPA Publication year: 2015
Influência do declive na exatidão do classificador MAXVER para o mapeamento da cultura do café. Author(s): SANTOS, W. J. R. dos; ALVES, H. M. R.; VIEIRA, T. G. C.; VOLPATO, M. M. L. This work evaluates the influence of slope in the classification of remotely sensed images used to map coffee lands of the region of Três Pontas in the state of Minas Gerais in Brazil. A Landsat image... ... Repository: BDPA Publication year: 2009
Use of images of leaves and fruits of apple trees for automatic identification of symptoms of diseases and nutritional disorders. Author(s): NACHTIGALL, L. G.; ARAUJO, R. M.; NACHTIGALL, G. R. Rapid diagnosis ofsymptoms caused by pest attack, diseases and nutritional or physiological disorders in apple orchards is essential to avoid greater losses. This paper aimed to evaluate the efficienc... ... Repository: BDPA Publication year: 2017
Preprocessing procedures and supervised classification applied to a database of systematic soil survey. Author(s): VALADARES, A. P.; COELHO, R. M.; OLIVEIRA, S. R. de M. ABSTRACT:Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full... ... Repository: BDPA Publication year: 2019
Zonage climatique viticole et cartographie numérique du Rio Grande do Sul - Brésil, par les indices du Système CCM Géoviticole. Author(s): TONIETTO, J.; MANDELLI, F.; WEBER, E.; HASENACK. H. Abstract: The State Rio Grande do Sul is the main producer of Brazilian fine wines, with four viticultural regions. The objective is the characterization of the viticultural climatic potential of the... ... Repository: BDPA Publication year: 2006
Automatic classification of soybean diseases based on digital images of leaf symptoms. Author(s): BARBEDO, J. G. A.; GODOY, C. V. ABSTRACT; This paper presents an algorithm for automatic classification of diseases that produce symptoms in soybean leaves. The algorithm is based on digital image processing techniques and on a modi... ... Repository: BDPA Publication year: 2015
Clustering algorithms validation to system definition of decision-making for vitivinicultural and enological parameters. Author(s): ALVES, C. A. N.; PEREIRA, G. E.; PAULA JÚNIOR, I. C. DE; CAMPOS, L. S.; VASCONCELOS, L. B. DE Clustering algorithms validation to system definition of decision-making for vitivinicultural and enological parameters. Repository: BDPA Publication year: 2024

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