Unsupervised Multiregion Partitioning of Fully Polarimetric SAR Images With Advanced Fuzzy Active Contours

Luo, Shiyu; Sarabandi, Kamal; Tong, Ling; Guo, Shuxiang

doi:10.1109/tgrs.2019.2947376

Cited by 9 publications

(8 citation statements)

References 36 publications

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“…Then we are ready to show thatV < 0 holds in the following part. Taking the derivative of V , and combining (22)…”

Section: Choose the Lyapunov Functionmentioning

confidence: 99%

“…Note thatV = 0 if and only ifω = 0, i.e, ω i = ω * for ∀i = 1, 2, ...n. According to LaSalle's invariant principle, {(λ, ω)|λ i = λ j , ω i = ω * , ∀i, j = 1, 2, ..., n} is the largest invariant set for system (22), which implies that the equilibrium point is globally asymptotically stable.…”

Section: Choose the Lyapunov Functionmentioning

confidence: 99%

“….., n} is the largest invariant set for system (22), which implies that the equilibrium point is globally asymptotically stable.…”

Section: B With Generator Capacity Constraintsmentioning

confidence: 99%

“…So we further obtain thatγ − i = 0 andγ + i = 0, when t ≥ T γ = max i {T γ − , T γ + }. Then (39) becomes (22) after T γ , which means that the output power P i of all the generators are within the capacity constraints. Then the rest of the proof is the same with that in III-A.…”

Section: B With Generator Capacity Constraintsmentioning

confidence: 99%

“…The idea of breaking the hierarchy of a micro-grid control is proposed in [18], [19], merging the frequency stability condition into the economic optimization problem. The gradient iterative updating algorithm is designed to solve the optimization problem [22]. [20] analyses the relationship between frequency dynamics and economic dispatching problems.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimal Frequency Control for Inverter-Based Micro-Grids Using Distributed Finite-Time Consensus Algorithms

Cao

Xie

2020

IEEE Access

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This paper addresses the distributed frequency control and economic dispatch problem of micro-grid systems. The optimal frequency control problem is formulated considering both frequency regulation and generation cost minimization, by establishing an equivalent nonlinear second-order dynamic model. A distributed finite-time consensus protocol is proposed to solve the optimal frequency regulation problem based on the equivalent model. Despite the nonlinear dynamics, the system frequency converges to the nominal value and the economic dispatch is achieved both in finite time. It is proved that the equilibrium point of the closed-loop system is the unique optimal solution to the associated economic dispatch problem. Simulation results verify the theoretical analysis and demonstrate the effectiveness of the proposed control method. INDEX TERMS distributed finite-time control, frequency control, economic dispatch problem, micro-grid hierarchical control

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“…Then we are ready to show thatV < 0 holds in the following part. Taking the derivative of V , and combining (22)…”

Section: Choose the Lyapunov Functionmentioning

confidence: 99%

Section: Choose the Lyapunov Functionmentioning

confidence: 99%

“….., n} is the largest invariant set for system (22), which implies that the equilibrium point is globally asymptotically stable.…”

Section: B With Generator Capacity Constraintsmentioning

confidence: 99%

Section: B With Generator Capacity Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Frequency Control for Inverter-Based Micro-Grids Using Distributed Finite-Time Consensus Algorithms

Cao

Xie

2020

IEEE Access

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Efficient active contours with optical physical parameters for shoreline extraction: a general method and novel framework

Ai,

Zhang,

Zhang

et al. 2023

International Journal of Remote Sensing

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A SAR Image Classification Algorithm Based on Multi-Feature Polarimetric Parameters Using FOA and LS-SVM

et al. 2019

Self Cite

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This paper presents a Synthetic Aperture Radar (SAR) image classification algorithm based on multi-feature using Fruit Fly Optimization Algorithm (FOA) and Least Square Support Vector Machine (LS-SVM). First, pixel-based information derived from three elements of coherency matrix, six parameters obtained by H /α/A decomposition and Freeman decomposition techniques, and three polarimetric parameters including the total receive power (SPAN), pedestal height, and Radar Vegetation Index (RVI), as well as region-based information derived from eight texture parameters obtained by Grey Level Co-occurrence Matrix (GLCM) are combined to use as the features of land cover. Second, Kernel Principal Component Analysis (KPCA) is used to reduce the dimensionality of the multi-feature data derived from the integration of the pixel-based and region-based information. Third, LS-SVM is used as the classifier in this study due to its fast solving speed and desirable classification capability. Since the input parameters of LS-SVM significantly affect the classification performance, we employ FOA to obtain the optimized input parameters. Finally, the experiments on two fully polarimetric SAR images of various crops with a limited number of samples are implemented by the proposed method and other commonly used methods, respectively. The results show that the proposed method can attain better classification performances compared with other methods.INDEX TERMS Polarimetric SAR image, classification, multi-feature, FOA.

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Unsupervised Multiregion Partitioning of Fully Polarimetric SAR Images With Advanced Fuzzy Active Contours

Cited by 9 publications

References 36 publications

Optimal Frequency Control for Inverter-Based Micro-Grids Using Distributed Finite-Time Consensus Algorithms

Optimal Frequency Control for Inverter-Based Micro-Grids Using Distributed Finite-Time Consensus Algorithms

Efficient active contours with optical physical parameters for shoreline extraction: a general method and novel framework

A SAR Image Classification Algorithm Based on Multi-Feature Polarimetric Parameters Using FOA and LS-SVM

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