Exterior orientation of CBERS-2B imagery using multi-feature control and orbital data

The major contribution of this paper relates to the practical advantages of combining Ground Control Points (GCPs), Ground Control Lines (GCLs) and orbital data to estimate the exterior orientation parameters of images collected by CBERS-2B (China-Brazil Earth Resources Satellite) HRC (High-resolution Camera) and CCD (High-resolution CCD Camera) sensors. Although the CBERS-2B is no longer operational, its images are still being used in Brazil, and the next generations of the CBERS satellite will have sensors with similar technical features, which motivates the study presented in this paper. The mathematical models that relate the object and image spaces are based on collinearity (for points) and coplanarity (for lines) conditions. These models were created in an in-house developed software package called TMS (Triangulation with Multiple Sensors) with multi-feature control (GCPs and GCLs). Experiments on a block of four CBERS-2B HRC images and on one CBERS-2B CCD image were performed using both models. It was observed that the combination of GCPs and GCLs provided better bundle block adjustment results than conventional bundle adjustment using only GCPs. The results also demonstrate the advantages of using primarily orbital data when the number of control entities is reduced. © 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).

Binary Bat Algorithm for Feature Selection

Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions makes an exhaustive search infeasible. In this work, we propose a new nature-inspired feature selection technique based on bats behavior, namely, binary bat algorithm The wrapper approach combines the power of exploration of the bats together with the speed of the optimum-path forest classifier to find a better data representation. Experiments in public datasets have shown that the proposed technique can indeed improve the effectiveness of the optimum-path forest and outperform some well-known swarm-based techniques. © 2013 Copyright © 2013 Elsevier Inc. All rights reserved.

BCS: A Binary Cuckoo Search algorithm for feature selection

Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and also to make feature extraction faster. In this paper, the propose a new feature selection called Binary Cuckoo Search, which is based on the behavior of cuckoo birds. The experiments were carried out in the context of theft detection in power distribution systems in two datasets obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques. © 2013 IEEE.

Optimizing feature selection through binary charged system search

Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the Charged System Search (CSS), which has never been applied to this context so far. The wrapper approach combines the power of exploration of CSS together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in four public datasets have demonstrated the validity of the proposed approach can outperform some well-known swarm-based techniques. © 2013 Springer-Verlag.

A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest

Besides optimizing classifier predictive performance and addressing the curse of the dimensionality problem, feature selection techniques support a classification model as simple as possible. In this paper, we present a wrapper feature selection approach based on Bat Algorithm (BA) and Optimum-Path Forest (OPF), in which we model the problem of feature selection as an binary-based optimization technique, guided by BA using the OPF accuracy over a validating set as the fitness function to be maximized. Moreover, we present a methodology to better estimate the quality of the reduced feature set. Experiments conducted over six public datasets demonstrated that the proposed approach provides statistically significant more compact sets and, in some cases, it can indeed improve the classification effectiveness. © 2013 Elsevier Ltd. All rights reserved.

Grafias não-convencionais da coda silábica nasal em dados de escrita de jovens e adultos em processo de alfabetização

Pós-graduação em Estudos Linguísticos - IBILCE

Efeitos dos poluentes gerados pela queima de biomassa no transporte mucociliar nasal e percepção da qualidade de vida de cortadores de cana

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise perceptivo-auditiva e acústica da voz em crianças de 4 a 12 anos com obstrução nasal crônica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Infecção experimental por Salmonella enterica subspécie enterica sorotipo Panama e tentativa de transmissão naso-nasal em leitões desmamados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de nanopartículas de quitosana para potencial administração nasal da DISBa-01, uma desintegrina recombinante do veneno da serpente Rhinocerophis alternatus

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Carreamento nasal de Staphylococcus aureus na população de Botucatu, São Paulo: prevalência, fatores de risco, resistência a antimicrobianos e epidemiologia molecular

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento e caracterização de sistemas nanoestruturados para potencial administração nasal de zidovudina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Investigação experimental sobre a transmissão aerógena e naso-nasal de Salmonella enterica subespécie enterica sorotipo Derby em suínos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mannheimiose pneumônica experimentalmente induzida em bezerros pela Mannheimia (Pasteurella) haemolytica A1-cepa D153: achados do exame físico, hemograma e swabs nasal e nasofaringeano

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Sistemas nanoestruturados mucoadesivos para administração nasal de zidovudina

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)