[PDF] Top 20 Hyperspectral Image Classification based on Dimensionality Reduction and Swarm Optimization Approach
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Hyperspectral Image Classification based on Dimensionality Reduction and Swarm Optimization Approach
... Hyperspectral image used in this paper is produce by Airborne Visible /Infrared Imaging Spectrometer ...Pines image was obtained from AVIRIS sensors above Northwestern Indiana in ...original ... See full document
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Novel Approach of Blurriness Reduction from Image by Particle Swarm Optimization
... uncorrupted image from a distorted and noisy ...directional image deblurring algorithm is introduced which uses basic concepts of ...PDEs based model for image deblurring considering both the ... See full document
6
A New Approach Based On FODPSO for Segmentation and Classification of Hyperspectral Image
... high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such ...of hyperspectral and multispectral images. This ... See full document
6
Weighted sparse graph based dimensionality reduction for hyperspectral images
... information, hyperspectral imagery has become an invaluable tool for detection, identification, and classification of materials and objects with complex compositions ...large hyperspectral data sets ... See full document
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Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images
... the hyperspectral image and achieve higher classification ...original hyperspectral images and does not take into account the redundancy of the spectral ...dimension reduction method ... See full document
10
Modified Whale Optimization Algorithm For Feature Selection In Micro Array Cancer Dataset
... and dimensionality reduction methods improve the prediction rate of classification task and avoid over-fitting problems with respect to sample inadequacy and high feature ...search based ... See full document
8
Pattern based Dimensionality Reduction Model for Age Classification
... “Pattern based Second order Compressed Binary (PSCB) image” to classify human age in to four ...level image into a 2 x 2 binary image, while preserving the significant features of the ... See full document
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Efficient Nonlinear Dimensionality Reduction for Pixel-wise Classification of Hyperspectral Imagery
... Based on all of the above papers, we can see that autoencoder networks have emerged as powerful tools for extracting features from different kinds of data, and it is straightforward to provide them with supervised ... See full document
150
TB Diagnosis System using Genetic Particle Swarm Optimization Based Neural Network Classifier
... employing image processing technique ...data classification method to remove patterns in an intelligent and dependable way and has been very much employed to find models that explain data relationship ... See full document
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Approach for Dimensionality Reduction in Web Page Classification
... Hybrid approach of Rough set and Genetic Algorithm for web page classification is proposed by Xiaoyue Wang, Zhen Hua and Rujiang Bai ...for dimensionality reduction. GA is based on an ... See full document
6
Hyperspectral Data Dimensionality Reduction Using Hybrid Approach
... data. Dimensionality reduction deals with transforming high dimensional data in to lower dimensional space without losing significance of the High dimensional ...is based on existing ...reduce ... See full document
5
Copy move image classification by feature optimization with support vector machine approach
... digital image processing programs, such as Photoshop, makes it relatively easy to create digital forgeries from one or multiple ...composite image: Image of the White House, Bill Clinton, and Saddam ... See full document
5
Study on the optimization algorithm of sediment particle Imshanage
... control the influence that the previous speed has on the current speed. If ω is smaller, the search solution in the current neighborhood, local search ability is strong; if ω is larger, then particles extend the search ... See full document
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Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization
... ter optimization of projection index function is the key factors whether projection pursuit technology can be applied ...parameter optimization of projection index function is generally complex which limits ... See full document
6
Probability based color image segmentation using accelerated particle swarm optimization
... Particle Swarm Optimization (PSO) is one of the more recently developed evolutionary technique, and it is based on a suitable model of social interaction between independent agents (particles) and it ... See full document
7
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas
... from hyperspectral remote sensing ...(EMP). Classification results, in terms of accuracy, are improved in comparison to original approach which used conventional principal component analysis for ... See full document
14
PARTICLE SWARM OPTIMIZATION BASED APPROACH FOR LOSS REDUCTION IN UNBALANCED RADIAL DISTRIBUTION SYSTEM
... The proposed algorithm is also tested on IEEE 37 bus URDS as shown in Fig.2 whereas voltage regulator has been removed from the original network. Three wire delta operating at a nominal voltage level of the test network ... See full document
9
Image classification technique using modified particle swarm optimization
... Unsupervised image classification does not rely on a training ...Unsupervised classification can be defined as the identification of natural groups or structures within the ...set based only ... See full document
15
A Survey on Application of Bio-Inspired Algorithms
... Swarm Intelligence is a branch of biologically inspired algorithms which is focused on the collective behaviour of swarms in order to develop some meta-heuristics which mimic the swarm's problem solution ... See full document
5
Hyperspectral Images Classification via Weighted Spatial Spectral Principle Component Analysis
... HSI Classification on Indian Pines Data Set. The nearest window scale and spectral factor are two main parameters in WSSPCA, which can be chosen from experiment. We select randomly 10% of samples per class for ... See full document
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