A reliable phase unwrapping algorithm based on the local fitting plane and quality map

A fast and reliable phase unwrapping (PhU) algorithm, based on the local quality-guided fitting plane, is presented. Its framework depends on the basic plane-approximated assumption for phase values of local pixels and on the phase derivative variance (PDV) quality map. Compared with other existing popular unwrapping algorithms, the proposed algorithm demonstrated improved robustness and immunity to strong noise and high phase variations, given that the plane assumption for local phase is reasonably satisfied. Its effectiveness is demonstrated by computer-simulated and experimental results.

Novel method to construct a quality map for phase unwrapping based on modulation and the phase gradient

A novel method to construct a quality map, called modulation-phase-gradient variance (MPGV), is proposed, based on modulation and the phase gradient. The MPGV map is successfully applied to two phase-unwrapping algorithms - the improved weighted least square and the quality-guided unwrapping algorithm. Both simulated and experimental data testify to the validity of our proposed quality map. Moreover, the unwrapped-phase results show that the new quality map can have higher reliability than the conventional phase-derivative variance quality map in helping to unwrap noisy, low-modulation, and/or discontinuous phase maps. (c) 2006 Society of Photo-Optical Instrumentation Engineers.

Weighted least-squares phase unwrapping algorithm based on derivative variance correlation map

Among different phase unwrapping approaches, the weighted least-squares minimization methods are gaining attention. In these algorithms, weighting coefficient is generated from a quality map. The intrinsic drawbacks of existing quality maps constrain the application of these algorithms. They often fail to handle wrapped phase data contains error sources, such as phase discontinuities, noise and undersampling. In order to deal with those intractable wrapped phase data, a new weighted least-squares phase unwrapping algorithm based on derivative variance correlation map is proposed. In the algorithm, derivative variance correlation map, a novel quality map, can truly reflect wrapped phase quality, ensuring a more reliable unwrapped result. The definition of the derivative variance correlation map and the principle of the proposed algorithm are present in detail. The performance of the new algorithm has been tested by use of a simulated spherical surface wrapped data and an experimental interferometric synthetic aperture radar (IFSAR) wrapped data. Computer simulation and experimental results have verified that the proposed algorithm can work effectively even when a wrapped phase map contains intractable error sources. (c) 2006 Elsevier GmbH. All rights reserved.

A genealogical map of the concept of habit

The notion of information processing has dominated the study of the mind for over six decades. However, before the advent of cognitivism, one of the most prominent theoretical ideas was that of Habit. This is a concept with a rich and complex history, which is again starting to awaken interest, following recent embodied, enactive critiques of computationalist frameworks. We offer here a very brief history of the concept of habit in the form of a genealogical network-map. This serves to provide an overview of the richness of this notion and as a guide for further re-appraisal. We identify 77 thinkers and their influences, and group them into seven schools of thought. Two major trends can be distinguished. One is the associationist trend, starting with the work of Locke and Hume, developed by Hartley, Bain, and Mill to be later absorbed into behaviorism through pioneering animal psychologists (Morgan and Thorndike). This tradition conceived of habits atomistically and as automatisms (a conception later debunked by cognitivism). Another historical trend we have called organicism inherits the legacy of Aristotle and develops along German idealism, French spiritualism, pragmatism, and phenomenology. It feeds into the work of continental psychologists in the early 20th century, influencing important figures such as Merleau-Ponty, Piaget, and Gibson. But it has not yet been taken up by mainstream cognitive neuroscience and psychology. Habits, in this tradition, are seen as ecological, self-organizing structures that relate to a web of predispositions and plastic dependencies both in the agent and in the environment. In addition, they are not conceptualized in opposition to rational, volitional processes, but as transversing a continuum from reflective to embodied intentionality. These are properties that make habit a particularly attractive idea for embodied, enactive perspectives, which can now re-evaluate it in light of dynamical systems theory and complexity research.

Avaliação Econômica do Biodiesel no Brasil: Investigando a Competitividade e Eficiência do Sistema Produtivo a partir da MAP.

O presente trabalho tem por finalidade realizar uma análise econômica dos possíveis impactos gerados na economia brasileira pelo Programa Nacional de Produção e Uso do Biodiesel (PNPB) e pela Lei N 11.097, que define percentuais mínimos obrigatórios de adição de biodiesel ao óleo diesel. Para atingir tal objetivo, apresenta-se uma avaliação econômica por meio do método de investigação conhecido como Matriz de Análise de Política (MAP). O emprego deste instrumental proporciona uma avaliação em termos de competitividade e eficiência do sistema de produção com base em um estudo comparativo da cadeia produtiva de biodiesel selecionando duas matérias-primas a soja e a mamona. Neste sentido, inicialmente investiga-se a cadeia produtiva do biodiesel no Brasil para diagnosticar as vantagens no que tange a escala de produção, a escolha de matérias-primas, bem como o custo de oportunidade, método de comercialização e distribuição e também a questão tributária. Os resultados da analise econômica revelaram que o emprego do óleo de soja para geração do biodiesel apresenta maior rentabilidade privada e social indicando ser mais competitivo e eficiente frente ao sistema produtivo que emprega o óleo de mamona. Os resultados da pesquisa evidenciando não apenas os aspectos econômicos como os sócio-ambientais favoráveis ao PNPB mostrando que o Brasil tem todas as condições para tornar-se um grande produtor de biodiesel.

Plan of the Lune Fishery District. Map of District sealed by the Board of agriculture & fisheries

Historic map of the River Lune Fishery District.

Avaliação econômica do biodiesel no Brasil: investigando a competitividade e eficiência do sistema produtivo a partir da MAP

O presente trabalho realiza uma análise econômica dos possíveis impactos gerados na economia brasileira pelo Programa Nacional de Produção e Uso do Biodiesel (PNPB) e pela Lei N 11.097/2005, que define percentuais mínimos obrigatórios de adição de biodiesel ao óleo diesel. Para atingir tal objetivo, apresenta-se uma avaliação econômica por meio de um método de investigação conhecido como Matriz de Análise de Política (MAP). Este instrumental permite uma avaliação em termos de competitividade e eficiência do sistema produtivo de biodiesel com base em um estudo comparativo da cadeia produtiva de biodiesel selecionando duas matérias-primas a soja e a mamona. Neste sentido, inicialmente investiga-se a cadeia produtiva do biodiesel no Brasil para diagnosticar as vantagens no que tange a escala de produção, a escolha de matérias-primas, bem como o custo de oportunidade, método de comercialização e distribuição e também a questão tributária. Por fim são apresentados os resultados da pesquisa evidenciando que os dois sistemas são rentáveis, competitivos e eficientes, no entanto, maiores ganhos, em termos de uso dos recursos disponíveis e de custos de produção podem ser obtidos no sistema de produção do biodiesel a partir da soja. O lucro maior apresentado para a produção de biodiesel da soja permite confirmar a preferência por este sistema de produção dada sua maior rentabilidade.

Patterns of scale-dependency and the influence of map resolution on the seascape ecology of reef fish

Detection and perception of ecological relationships between biota and their surrounding habitats is sensitive to analysis scale and resolution of habitat data. We measured strength of univariate linear correlations between reef fish and seascape variables at multiple spatial scales (25 to 800 m). Correlation strength was used to identify the scale that best associates fish to their surrounding habitat. To evaluate the influence of map resolution, seascape variables were calculated based on 4 separate benthic maps produced using 2 levels of spatial and thematic resolution, respectively. Individual seascape variables explained only 25% of the variability in fish distributions. Length of reef edge was correlated with more aspects of the fish assemblage than other features. Area of seagrass and bare sand correlated with distribution of many fish, not just obligate users. No fish variables correlated with habitat diversity. Individual fish species achieved a wider range of correlations than mobility guilds or the entire fish assemblage. Scales of peak correlation were the same for juveniles and adults in a majority of comparisons. Highly mobile species exhibited broader scales of peak correlation than either resident or moderately mobile fish. Use of different input maps changed perception of the strength and even the scale of peak correlations for many comparisons involving hard bottom edge length and area of sand, whereas results were consistent regardless of map type for comparisons involving area of seagrass and habitat diversity.