Vertex component analysis: a geometric-based approach to unmix hyperspectral data

Hyperspectral remote sensing exploits the electromagnetic scattering patterns of the different materials at specific wavelengths [2, 3]. Hyperspectral sensors have been developed to sample the scattered portion of the electromagnetic spectrum extending from the visible region through the near-infrared and mid-infrared, in hundreds of narrow contiguous bands [4, 5]. The number and variety of potential civilian and military applications of hyperspectral remote sensing is enormous [6, 7]. Very often, the resolution cell corresponding to a single pixel in an image contains several substances (endmembers) [4]. In this situation, the scattered energy is a mixing of the endmember spectra. A challenging task underlying many hyperspectral imagery applications is then decomposing a mixed pixel into a collection of reflectance spectra, called endmember signatures, and the corresponding abundance fractions [8–10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. Linear mixing model holds approximately when the mixing scale is macroscopic [13] and there is negligible interaction among distinct endmembers [3, 14]. If, however, the mixing scale is microscopic (or intimate mixtures) [15, 16] and the incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [17], the linear model is no longer accurate. Linear spectral unmixing has been intensively researched in the last years [9, 10, 12, 18–21]. It considers that a mixed pixel is a linear combination of endmember signatures weighted by the correspondent abundance fractions. Under this model, and assuming that the number of substances and their reflectance spectra are known, hyperspectral unmixing is a linear problem for which many solutions have been proposed (e.g., maximum likelihood estimation [8], spectral signature matching [22], spectral angle mapper [23], subspace projection methods [24,25], and constrained least squares [26]). In most cases, the number of substances and their reflectances are not known and, then, hyperspectral unmixing falls into the class of blind source separation problems [27]. Independent component analysis (ICA) has recently been proposed as a tool to blindly unmix hyperspectral data [28–31]. ICA is based on the assumption of mutually independent sources (abundance fractions), which is not the case of hyperspectral data, since the sum of abundance fractions is constant, implying statistical dependence among them. This dependence compromises ICA applicability to hyperspectral images as shown in Refs. [21, 32]. In fact, ICA finds the endmember signatures by multiplying the spectral vectors with an unmixing matrix, which minimizes the mutual information among sources. If sources are independent, ICA provides the correct unmixing, since the minimum of the mutual information is obtained only when sources are independent. This is no longer true for dependent abundance fractions. Nevertheless, some endmembers may be approximately unmixed. These aspects are addressed in Ref. [33]. Under the linear mixing model, the observations from a scene are in a simplex whose vertices correspond to the endmembers. Several approaches [34–36] have exploited this geometric feature of hyperspectral mixtures [35]. Minimum volume transform (MVT) algorithm [36] determines the simplex of minimum volume containing the data. The method presented in Ref. [37] is also of MVT type but, by introducing the notion of bundles, it takes into account the endmember variability usually present in hyperspectral mixtures. The MVT type approaches are complex from the computational point of view. Usually, these algorithms find in the first place the convex hull defined by the observed data and then fit a minimum volume simplex to it. For example, the gift wrapping algorithm [38] computes the convex hull of n data points in a d-dimensional space with a computational complexity of O(nbd=2cþ1), where bxc is the highest integer lower or equal than x and n is the number of samples. The complexity of the method presented in Ref. [37] is even higher, since the temperature of the simulated annealing algorithm used shall follow a log( ) law [39] to assure convergence (in probability) to the desired solution. Aiming at a lower computational complexity, some algorithms such as the pixel purity index (PPI) [35] and the N-FINDR [40] still find the minimum volume simplex containing the data cloud, but they assume the presence of at least one pure pixel of each endmember in the data. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. PPI algorithm uses the minimum noise fraction (MNF) [41] as a preprocessing step to reduce dimensionality and to improve the signal-to-noise ratio (SNR). The algorithm then projects every spectral vector onto skewers (large number of random vectors) [35, 42,43]. The points corresponding to extremes, for each skewer direction, are stored. A cumulative account records the number of times each pixel (i.e., a given spectral vector) is found to be an extreme. The pixels with the highest scores are the purest ones. N-FINDR algorithm [40] is based on the fact that in p spectral dimensions, the p-volume defined by a simplex formed by the purest pixels is larger than any other volume defined by any other combination of pixels. This algorithm finds the set of pixels defining the largest volume by inflating a simplex inside the data. ORA SIS [44, 45] is a hyperspectral framework developed by the U.S. Naval Research Laboratory consisting of several algorithms organized in six modules: exemplar selector, adaptative learner, demixer, knowledge base or spectral library, and spatial postrocessor. The first step consists in flat-fielding the spectra. Next, the exemplar selection module is used to select spectral vectors that best represent the smaller convex cone containing the data. The other pixels are rejected when the spectral angle distance (SAD) is less than a given thresh old. The procedure finds the basis for a subspace of a lower dimension using a modified Gram–Schmidt orthogonalizati on. The selected vectors are then projected onto this subspace and a simplex is found by an MV T pro cess. ORA SIS is oriented to real-time target detection from uncrewed air vehicles using hyperspectral data [46]. In this chapter we develop a new algorithm to unmix linear mixtures of endmember spectra. First, the algorithm determines the number of endmembers and the signal subspace using a newly developed concept [47, 48]. Second, the algorithm extracts the most pure pixels present in the data. Unlike other methods, this algorithm is completely automatic and unsupervised. To estimate the number of endmembers and the signal subspace in hyperspectral linear mixtures, the proposed scheme begins by estimating sign al and noise correlation matrices. The latter is based on multiple regression theory. The signal subspace is then identified by selectin g the set of signal eigenvalue s that best represents the data, in the least-square sense [48,49 ], we note, however, that VCA works with projected and with unprojected data. The extraction of the end members exploits two facts: (1) the endmembers are the vertices of a simplex and (2) the affine transformation of a simplex is also a simplex. As PPI and N-FIND R algorithms, VCA also assumes the presence of pure pixels in the data. The algorithm iteratively projects data on to a direction orthogonal to the subspace spanned by the endmembers already determined. The new end member signature corresponds to the extreme of the projection. The algorithm iterates until all end members are exhausted. VCA performs much better than PPI and better than or comparable to N-FI NDR; yet it has a computational complexity between on e and two orders of magnitude lower than N-FINDR. The chapter is structure d as follows. Section 19.2 describes the fundamentals of the proposed method. Section 19.3 and Section 19.4 evaluate the proposed algorithm using simulated and real data, respectively. Section 19.5 presents some concluding remarks.

Remediação Ambiental

A agricultura é uma das atividades mais antigas realizadas pelo Homem, sendo de grande importância para a obtenção tanto de bens alimentares como de bens para outros fins. No entanto desde o início constatou-se que as culturas eram afetadas por pragas e doenças que levavam à perda das colheitas. Este motivo deu origem à necessidade de nesses termos surgiu a aplicação de substâncias com o objetivo de proteger as colheitas. Os pesticidas são substâncias naturais ou sintéticas, aplicadas com o objetivo de proteger as plantas eliminando pragas e doenças. Para além da potencial toxicidade destas substâncias, em alguns casos a sua degradação no meio ambiente por microrganismos, hidrólise, radiação solar, etc. dá origem a produtos de degradação tanto ou mais tóxicos que os próprios pesticidas. A utilização deste tipo de substâncias acarreta problemas, visto a sua aplicação ser feita de forma a compensar perdas que ocorrem por meio de degradação, lixiviação, entre outros processos. Este tipo de aplicação leva a que haja contaminação do meio ambiente por parte dos pesticidas, pondo em risco tanto a saúde humana como os restantes seres vivos. A utilização de ciclodextrinas no encapsulamento destes compostos tem como objetivo aumentar a estabilidade do composto e promover a sua libertação de forma controlada. No presente trabalho pretende-se efetuar um estudo comparativo sobre a fotodegradação do herbicida terbutilazina e do fungicida pirimetanil livres e quando encapsulados com 2- hidroxipropil-β- ciclodextrina. De forma a quantificar os pesticidas ao longo do estudo foi utilizado o método analítico de HPLC de fase reversa. Os resultados permitiram constatar que a terbutilazina é fotoquimicamente estável, nas condições aplicadas, visto que ao fim de 75 dias de as soluções de pesticida livre em água desionizada e em água do rio apresentarem ainda 98% do pesticida inicial e as soluções de pesticida encapsulado em água desionizada e em água do rio apresentarem ainda 98% do pesticida inicial. Neste caso particular não foi possível, no intervalo de tempo considerado, avaliar a influência do encapsulamento no processo de fotodegradação da terbutilazina. Dada a baixa fotodegradação observada optou-se pela adição de peróxido de hidrogénio às soluções de controlo e 35 mM de HP-β-CD e acetona às soluções de 0 mM e 17,5 mM de HP-β-CD, para tentar promover a degradação do pesticida. Através dos resultados obtidos constatou-se que particularmente para as soluções onde foi adicionada acetona houve um aumento da velocidade de degradação no entanto esta ainda ocorria de forma lenta e muito semelhante quer para o pesticida livre quer para o encapsulado. Relativamente ao estudo da fotodegradação do pirimetanil verificou-se que ao fim de 4 dias de irradiação as soluções de pesticida livre apresentavam já alguma degradação do pesticida e tendo o período de irradiação uma duração de 53 dias foi possível para este pesticida determinar os parâmetros cinéticos em algumas das soluções. Quanto as soluções de água desionizada e água do rio com pirimetanil livre ambas apresentaram degradação do pesticida verificando-se uma cinética de reação de 1ª ordem com constantes de 0,0018 dias-1 e de 0,0060 dias-1 respetivamente. Para a solução de água desionizada com pirimetanil encapsulado não foi detetada degradação do pesticida, já para a solução com pirimetanil encapsulado em água do rio verificou-se a existência de degradação que correspondeu a uma cinética de degradação de 1ª ordem com uma constante de 0,0013 dias-1. Através dos resultados obtidos pode-se concluir que o encapsulamento do pirimetanil com 2-hidroxipropil-β-ciclodextrina é vantajoso visto diminuir a quantidade de pesticida utilizado e aumentar a eficácia do controlo das pragas.

Estudo sobre viabilidade de produção descentralizada de energia à custa do efeito chaminé

A procura por alternativas ao atual paradigma energético, que se caracteriza por uma predominância indiscutível das fontes combustíveis fósseis, é o motivo primário desta investigação. A energia emitida pelo Sol que chega à Terra diariamente ultrapassa em várias ordens de grandeza a energia que a nossa sociedade atual necessita. O efeito chaminé é uma das formas de aproveitar essa energia. Este efeito tem origem no diferencial de temperaturas existente entre o interior e o exterior de uma chaminé, que provoca um gradiente nas massas volúmicas do fluido entre o interior e o exterior da chaminé, induzindo assim um fluxo de ar. Esta diferença de temperaturas radica na exposição da face exterior da chaminé à radiação solar. No sistema que nos propomos estudar, o ar entra na chaminé por pequenos orifícios situados na sua base, e, ao tomar contacto com as paredes internas da chaminé, aquece desde a temperatura ambiente, Ta, até à temperatura interna, Ti . Este aumento de temperatura torna o ar dentro da chaminé mais “leve” em comparação com o ar mais frio do exterior levando-o a ascender ao longo do interior da chaminé. Este escoamento contém energia cinética que pode, por exemplo, ser transformada em energia elétrica por intermédio de turbinas. A eficiência de conversão da energia será tanto maior quanto menor for a velocidade do ar a jusante da turbina. Esta tecnologia poderá ser instalada de forma descentralizada, como acontece com as atuais centrais concentradoras solares térmicas e fotovoltaicas localizadas na periferia de grandes cidades ou, alternativamente, poderá ser inserida no próprio tecido urbanístico. A investigação demonstra que as dimensões da chaminé, a irradiação e a temperatura do ar são os fatores com maior impacto na potência hidráulica gerada.

Thermal performance of cool facades: evaluation by Infrared Thermography

High reflective paints (cool paints) are used on flat roofs to reduce heat gains from the incidence of solar radiation and thus improve the thermal comfort and energy efficiency of buildings, especially in summer periods. Given the application potential of these paints on vertical surfaces, a research study has been developed to evaluate the thermal performance of reflective paints on walls under real exposure conditions. Accordingly, different reflective paints have been applied as the final coating of an ETICS type solution, on the facades of a full scale experimental cell built at LNEC campus. For being applied in an ETICS system a paint has to fulfill several requirements, whether aesthetic or functional (such as the adhesion between the coating layers or the durability of the insulation), essential for its efficient performance. Since this construction coating system is subject to a prolonged sun exposure, various problems may arise, such as paint degradation or deterioration of the thermal insulation properties, particularly when dark colors are applied. To evaluate the thermal performance of the chosen paints, the method of non-destructive analysis by Infrared Thermography was used. Thermography allows knowing the temperature distribution of facades by measuring the radiation emitted by their surfaces. To complement the thermographic diagnosis, thermocouples were placed between the insulation and the paint system of the experimental cell. Additional laboratory tests allowed the characterization of the optical properties (reflectance and emittance) of the different reflective paints used in this study. The comparative analysis of the thermal performance of reflective and conventional paints revealed that the reflective paint allows a reduction of the facade surface temperature, reducing the risk of loss of insulating properties of the ETICS system and thus ensuring its longevity and functionality. The color of the paint used affects, naturally, the reflective ability of the surface and may have an important role in energy balance of the building. This paper also showed the potential of infrared thermography in the evaluation of the thermal performance of reflective paints.

Study on the degradation of natural fiber geotextiles

Current societal challenges increasingly demand the need to seek for efficient and sustainable solutions to daily problems. Construction, as a result of its activity, is one of the main responsible industry for the exploitation of resources and greenhouse gas emissions. In this way, several research works are being undertaken to change some of the current practices. This paper presents the work being done at University of Minho to study de degradation of natural fibers when used as a sustainable solution for soil reinforcement. Jute and sisal fibrous structures (0º/90º) were studied in terms of their degradation over time, when incorporated into soil and when subject to accelerated aging tests in a QUV weathering test equipment. Results show that the process of biodegradation of natural fibers is clearly accelerated by the action of temperature, moisture and solar radiation, explaining further degradation of jute and sisal fibers when exposed to these factors, although more pronounced in jute fabric structures.

Seguidor do ponto de máxima potência multi-conversor para sistemas solares fotovoltaicos

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e de Computadores

Degradação fotocatalítica de petróleo e seus derivados através da utilização de nanopartículas de dióxido de titânio puro e misturado com óxido de grafeno reduzido

Dissertação de mestrado integrado em Engenharia de Materiais

Desenvolvimento de materiais para isolamento térmico com base em biomimética

Dissertação de mestrado Internacional em Sustentabilidade do Ambiente Construído

Remoção fotocatalítica de micropoluentes em meios porosos funcionalizados

Dissertação de mestrado integrado em Engenharia Civil

Приземный радон как катализатор загрязнения воздуха в Тбилиси вторичными аэрозолями

წარმოდგენილია თბილისში 2009 წლის ივნისიდან 2010 წლის ივნისამდე ჰაერის მიწისპირა ფენაში რადონის და სუბმიკრონული აეროზოლების კომპლექსური მონიტორინგის ზოგიერთი წინასწარი შედეგი.

Некоторые предварительные результаты комплексного мониторинга конццентрации приземного озона (кпо), интенсивности суммарной солнечной радиации и содержания в воздухе субмикронных аэрозолей в Тбилиси в 2009-2010 гг.

წარმოდგენილია თბილისში 2009 წლის ივნისიდან 2010 წლის ივნისამდე პერიოდისათვის მიწისპირა ოზონის კონცენტრაციის (მოკ), მზის ჯამური რადიაციის ინტენსივობის და ჰაერში სუბმიკრონული აეროზოლების შემცველობის კომპლექსური მონიტორინგის ზოგიერთი წინასწარი შედეგი.

Некоторые предварительные результаты комплексного мониторинга интенсивности солнечной радиации, общей облачности, дальности видимости и температуры воздуха в Тбилиси в 2009-2010 гг.

წარმოდგენილია თბილისში 2009 წლის ივნისიდან 2010 წლის ივნისამდე მზის რადიაციის ინტენსივობის, საერთო ღრუბლიანობის, ხილვადობის და ჰაერის ტემპერატურის კომპლექსური მონიტორინგის ზოგიერთი წინასწარი შედეგი.

Can climate shape flight activity patterns of Plebeia remota Hymenoptera, Apidae)?

Flight activity of foragers of four colonies of Plebeia remota (Holmberg, 1903) was registered from December 1998 to December 1999, using an automated system (photocells and PLC system). The colonies originated from two different regions: Cunha, state of São Paulo, and Prudentópolis, state of Paraná, Brazil. Flight activity was influenced by different climatic factors in each season. In the summer, the intensity of the correlations between flight activity and climatic factors was smaller than in the other seasons. During the autumn and winter, solar radiation was the factor that most influenced flight activity, while in the spring, this activity was influenced mainly by temperature. Except in the summer, the various climatic factors similarly influenced flight activity of all of the colonies. Flight activity was not affected by geographic origin of the colonies. Information concerning seasonal differences in flight activity of P. remota will be useful for prediction of geographic distribution scenarios under climatic changes.

Morphometric differences in two calanoid sibling species, Boeckella gracilipes and B. titicacae (Crustacea, Copepoda)

Calanoid copepods are abundant in South American inland waters and include widespread species, such as Boeckella gracilipes (Daday, 1902), which occurs from the Ecuador to Tierra del Fuego Island. This species occurs under various environmental conditions, and is found in oligotrophic lakes in Patagonia (39-54°S) and in shallow mountain lakes north of 39°S. The aim of the present study is to conduct a morphometric comparison of male specimens of B. titicacae collected in Titicaca and B. gracilipes collected in Riñihue lakes, with a third population of B. gracilipes collected in shallow ponds in Salar de Surire. Titicaca and Riñihue lakes are stable environments, whereas Salar de Surire is an extreme environment. These ponds present an extreme environment due to high exposure to solar radiation and high salinity levels. The results of the study revealed differences among the three populations. These results agree well with systematic descriptions in the literature on differences between the populations of Titicaca and Riñihue lakes, and population of Salar de Surire differs slightly from the other two populations. It is probable that the differences between the population of Salar de Surire and the other two populations result from the extreme environment in Salar de Surire. High exposure to solar radiation, high salinity and extreme variations in temperature enhance genetic variations that are consequently expressed in morphology.

Tomato response to a high light transmission greenhouse film

Increasing greenhouse light transmission has a positive effect not only in Northern latitudes but in Mediterranean countries as well. A greenhouse, H2, with a tetrafluoroethylene copolymer 60 microns film, (Asahi Glass company, Aflex) characterised by its high light transmission and durability was compared to another greenhouse with a co-extruded film considered as a control, H1. Tomato crop response to the increase in light during winter and summer with high temperature and light was evaluated. Light transmission in H2 remained very high in spite of the observed dust accumulation and the low angle of incidence of the winter solar radiation. Transmissivity was clearly higher for H2 (81 to 83 % throughout the season) than in the control (around 63 %). The rest of the climatic parameters were similar in both greenhouses, either in the winter or in the summer evaluations. In spite of the high solar radiation in H2, the summer temperature could be maintained at the desired levels by using evaporative cooling. Accumulated tomato yield and quality was better in the H2 greenhouse (15 % more for the winter crop and 27% more for the summer crop). Fruit size was bigger in the winter crop. As an overall conclusion, the use of high light transmissive films in Mediterranean areas is very convenient for many vegetable crops. This is valid not only in winter but in summer, provided the greenhouse has good ventilation or evaporative cooling to overcome the increase in sensible heat caused by this increase in light..