搜索结果: 1-15 共查到“particle swarm optimization”相关记录15条 . 查询时间(0.173 秒)
PARTICLE SWARM OPTIMIZATION BASED APPROACH TO ESTIMATE EPIPOLAR GEOMETRY FOR REMOTELY SENSED STEREO IMAGES
Fundamental Matrix Particle Swarm Optimization Epipolar Geometry Remote Sensing Random Sample Consensus Stereo Vision
2019/2/27
A novel particle swarm optimization based approach for the estimation of epipolar geometry for remotely sensed images is proposed and implemented in this work. In stereo vision, epipolar geometry is d...
MULTI-PATCHES IRIS BASED PERSON AUTHENTICATION SYSTEM USING PARTICLE SWARM OPTIMIZATION AND FUZZY C-MEANS CLUSTERING
Particle swarm optimization Fuzzy c-means Taylor’s series expansion weighted mean Hamming distance Iris recognition system
2017/6/19
Locating the boundary parameters of pupil and iris and segmenting the noise free iris portion are the most challenging phases of an automated iris recognition system. In this paper, we have presented ...
Design of Non-Uniform Linear Array via Linear Programming and Particle Swarm Optimization and Studies on Phased Array Calibration
linear array linear programming particle swarm optimization side lobe level phased array calibration
2014/12/8
For a linear array, the excitation coefficients of each element and its geometry play an important role, because they will determine the radiation pattern of the given array. Side Lobe Level (SLL) is ...
OBTAINING APPROXIMATE VALUES OF EXTERIOR ORIENTATION ELEMENTS OF MULTI-INTERSECTION IMAGES USING PARTICLE SWARM OPTIMIZATION
Pose estimation Approximate value Exterior orientation elements Particle swarm optimization Small control frame
2014/4/28
In this paper, an efficient global optimization algorithm in the field of artificial intelligence, named Particle Swarm Optimization (PSO), is introduced into close range photogrammetric data processi...
COMPARISON OF PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM IN RATIONAL FUNCTION MODEL OPTIMIZATION
Rational Function Model (RFM) Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Mathematical Modelling High Resolution Satellite Images (HRSIs)
2014/4/25
Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As the...
Particle Swarm Optimization for Identifying Rainfall-Runoff Relationships
Rainfall-Runoff System Identification Particle Swarm Optimization Classic Models Simple Linear Model
2013/3/18
Rainfall-runoff processes can be considered a single input-output system where the observed rainfall and runoff are inputs and outputs, respectively. Conventional models of these processes cannot simu...
Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi-Swarm Cooperative Particle Swarm Optimization
Flood Classification Particle Swarm Optimization Projection Pursuit
2013/3/19
The indicators of flood damage assessment in the flood classification are often incompatible, and it is very difficult to use those indicators value directly for classification assessment. Projection ...
Asynchronous particle swarm optimization-based search with a multi-robot system: simulation and implementation on a real robotic system
Asynchronous particle optimization-based search a multi-robot system a real robotic system
2010/10/12
In this article we consider a version of the Particle Swarm Optimization (PSO) algorithm which is appropriate for search tasks of multi-agent systems consisting of small robots with limited sensing ca...
Corrective action planning considering FACTS allocation and optimal load shedding using bacterial foraging oriented by particle swarm optimization algorithm
FACTS devices reactive power planning load shedding BF algorithm PSO algorithm
2010/10/12
Reactive power planning (RPP) involves optimal allocation and determination of the type and size of new reactive power (VAR) supplies to satisfy voltage constraints during normal and contingency state...
An application of swarm intelligence binary particle swarm optimization (BPSO) algorithm to multi-focus image fusion
multi-focus image fusion binary particle swarm optimization perfect reconstruction swarm intelligence image definition evaluation
2011/5/9
In this paper, an optimal and intelligent multi-focus image fusion algorithm is presented, expected
to achieve perfect reconstruction or optimal fusion of multi-focus images with high speed.
A syner...
Particle Swarm Optimization and gravitational wave data analysis: Performance on a binary inspiral testbed
Particle Swarm Optimization gravitational wave
2010/3/17
The detection and estimation of gravitational wave (GW) signals belonging to a parameterized family of waveforms requires, in general, the numerical maximization of a data-dependent function of the si...
基于PSO与K-均值算法的农业超绿图像分割方法（Agriculture Extra-green Image Segmentation Based on Particle Swarm Optimization and K-means Clustering）
图像分割 微粒群算法 K均值算法
2009/9/11
为了解决K-均值算法对农业图像中常用的超绿特征2G—R—B图像分割效果不佳的缺点，提出一种基于微粒群与K均值算法的图像分割方法。先用K均值算法对图像进行快速分类，然后将分类结果作为其中一个微粒的结果，利用微粒群算法计算，最后用K-均值算法在新的分类基础上计算新的聚类中心，更新当前的位置，以得到最优的图像分割阈值。试验结果表明，改进算法对超绿特征2G—R—B图像能够准确分割目标，且对不同类型的农业超...
基于动态聚集距离的多目标粒子群优化算法及其应用（Multi-objective Particle Swarm Optimization Algorithm Based on Dynamic Crowding Distance and Its Application）
粒子群算法 多目标优化 改进的快速排序法 动态聚集距离 Pareto集
2010/4/1
为了增加Pareto集的多样性，提高多目标优化的全局寻优能力，提出了一种基于动态聚集距离的多目标粒子群算法(DCD-MOPSO)。该算法利用改进的快速排序方法来减少计算量，采用动态变化的惯性权重和加速因子以增强算法的全局寻优能力，并基于动态聚集距离对外部集进行维护以增加Pareto集的多样性。通过典型测试函数的仿真实验和应用实例对DCD-MOPSO算法性能进行了分析，并与多目标优化算法MOPSO和...
land-use spatial optimization model based on particle swarm optimization
Particle Swarm Optimization – PSO Land-Use Spatial Allocation Spatial Modeling GIS
2016/4/11
The optimization of land-use structure is the core of optimizing the allocation of land resources, including the optimization of quantity and space. However, traditional methods such as multi-objectiv...
CLUSTERING OF LIDAR DATA USING PARTICLE SWARM OPTIMIZATION ALGORITHM IN URBAN AREA
Clustering LIDAR Particle swarm optimization Urban Area Object Extraction
2016/2/29
One of the fundamental steps in the transformation of the LIDAR data into the meaningful objects in urban area involves their
segmentation into consistent units through a clustering process. Neverth...