Reconstruction of vertical profiles of the absorption and scattering coefficients from multispectral radiances

Souto, Roberto Pinto; Velho, Haroldo F. Campos; Stephany, Stephan

doi:10.1016/j.matcom.2006.06.007

Cited by 6 publications

(8 citation statements)

References 22 publications

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“…Although, the optimization model was formulated in terms of integer programming, the solution to the mathematical problem was efficiently approximated by means of a multi-objective multicolony ant algorithm. Its robustness in analyzing the effects of different scenarios and number of potential monitoring stations was illustrated by eliminating the need of employing an off-line routine for coverage matrix identification and its application to a real world large network Employing ACO algorithm, Charvalho et al (2008) and Souto et al (2004Souto et al ( , 2006 reconstructed the chlorophyll profile from radiance experimental measurements in the ocean water for several depths by solving the inverse problem. Vertical profiles of the absorption and scattering coefficients are estimated from the Chlorophyll profile by means of bio-optical models and the inverse problem was formulated as an optimization problem and iteratively solved by an ACS using the radiative transfer equation as direct model.…”

Section: Environmental and Watershed Managementmentioning

confidence: 99%

State of the Art Review of Ant Colony Optimization Applications in Water Resource Management

Afshar

Massoumi

Mariño

2015

Water Resour Manage

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Among the emerged metaheuristic optimization techniques, ant colony optimization (ACO) has received considerable attentions in water resources and environmental planning and management during last decade. Different versions of ACO have proved to be flexible and powerful in solving number of spatially and temporally complex water resources problems in discrete and continuous domains with single and/or multiple objectives. Reviewing large number of peer reviewed journal papers and few valuable conference papers, we intend to touch the characteristics of ant algorithms and critically review their state-of-the-art applications in water resources and environmental management problems, both in discrete and continuous domains. The paper seeks to promote Opportunities, advantages and disadvantages of the algorithm as applied to different areas of water resources problems both in research and practice. It also intends to identify and present the major and seminal contributions of ant algorithms and their findings in organized areas of reservoir operation and surface water management, water distribution systems, urban drainage and sewer systems, groundwater managements, environmental and watershed management. Current trends and challenges in ACO algorithms are discussed and called for increased attempts to carry out convergence analysis as an active area of interest.

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Section: Environmental and Watershed Managementmentioning

confidence: 99%

State of the Art Review of Ant Colony Optimization Applications in Water Resource Management

Afshar

Massoumi

Mariño

2015

Water Resour Manage

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“…In the present work, the ACO-based inverse solver with an intrinsic regularization (Souto et al, 2005;Souto et al, 2006) is employed without the regularization term (γ = 0) shown in Eq. (2).…”

Section: Intrinsic Regularizationmentioning

confidence: 99%

“…Campos Velho & Ramos (1997) estimated electric conductivity distribution from electromagnetic ground data using numerical inversion. Souto et al (2006) applied Ant Colony Systems to reconstruct absorption and scattering coefficients along vertical profiles. Paasche et al (2008) applied a cooperative zonal inversion method for georadar and ultrasounds traveltime data in order to locate voids.…”

Section: Introductionmentioning

confidence: 99%

Estimating Dielectric Permittivity and Electric Conductivity From Simulated Multichannel GPR Pulses Using Aco and Quasi-Newton Inversion Techniques

Gomes¹,

Souto²,

Athayde³

et al. 2014

Rev. Bras. Geof.

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ABSTRACT. Inversion of synthetic ground-penetrating radar data to estimate both dielectric permittivity (ε) and electric conductivity (σ) properties simultaneously is presented in this paper. The synthetic Ground-Penetrating Radar (GPR) data was generated by the propagation of a one-dimensional electromagnetic wave (1-D EM wave) through a given geological model. The simulated EM trace was modeled by Finite Difference Time Domain method (FDTD) for three different frequencies (f ): 800, 1000 and 1200 MHz. Random noise was also introduced to evaluate inversion algorithm performance. The inversion of GPR data was performed by Ant Colony Optimization (ACO) and Quasi-Newton (QN) techniques. A modified ACO technique was applied to approximate conductivity for deepest positions, and to increase the accuracy and convergence along lower positions. The inversion techniques were able to estimate simultaneously the dielectric permittivity and electric conductivity from synthetic multi-frequency GPR data. The estimated electrical parameters can be used to derive a set of physical properties and to develop a better understanding of the underground geological or geotechnical media.Keywords: ground-penetrating radar, inversion of GPR data, Ant Colony Optimization, Quasi-Newton technique. RESUMO.Neste artigo apresenta-se o registro das ondas eletromagnéticas refletidas (dados sintéticos) e o uso deste registro em algoritmos de inversão que procuram estimar simultaneamente as propriedades permissividade elétrica (ε) e condutividade elétrica (σ). Os dados GPR sintéticos foram gerados pela propagação da onda unidimensional através de um determinado modelo geológico. O traço da onda eletromagnética (OEM) simulado foi modelado pelo método das diferenças finitas no domínio do tempo (FDTD) para três diferentes frequências (f ): 800, 1000 e 1200 MHz. Os ruídos randômicos foram introduzidos para verificar a performance do algoritmo de inversão. Os dados de inversão GPR (permissividade dielétrica e condutividade elétrica) foram obtidos pelos métodos Ant Colony Optimization (Otimização da Colônia de Formigas) (ACO) e Quasi-Newton (QN). O método ACO modificado foi aplicado para aproximar a condutividade em posições mais profundas e aumentar a precisão e a convergência ao longo da profundidade. Os métodos de inversão foram capazes de estimar simultaneamente duas propriedades do modelo geológico: a permissividade elétrica e a condutividade elétrica para levantamentos georradar multicanais. Os parâmetros elétricos estimados podem ser usados para derivar um conjunto de propriedades físicas e melhorar a compreensão dos meios geológico-geotécnicos em subsolo.Palavras-chave: radar de penetração no solo, inversão de dados GPR, Otimização da Colônia de Formigas, método Quasi-Newton.

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“…Hence, these methods are more robust. Computational time is of course a concern for these methods [16] but with ever growing computational power, parallelization [19], modifications [20][21][22] and development of hybrid methods [23][24][25], these methods can substitute http://dx.doi.org/10.1016/j.ijheatmasstransfer.2015.05.015 0017-9310/Ó 2015 Elsevier Ltd. All rights reserved. the conventional methods.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems

Udayraj

Mulani

Talukdar

et al. 2015

International Journal of Heat and Mass Transfer

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Reconstruction of vertical profiles of the absorption and scattering coefficients from multispectral radiances

Cited by 6 publications

References 22 publications

State of the Art Review of Ant Colony Optimization Applications in Water Resource Management

State of the Art Review of Ant Colony Optimization Applications in Water Resource Management

Estimating Dielectric Permittivity and Electric Conductivity From Simulated Multichannel GPR Pulses Using Aco and Quasi-Newton Inversion Techniques

Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems

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