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A SATELLITE IMAGE CLASSIFICATION APPROACH BY USING ONE DIMENSIONAL DISCRIMINANT ANALYSIS
Satellite Image Image Classification Linear Discriminant Analysis Dimension Reduction
2018/4/18
The classification problem in the image processing field is an important challenge, so that in the process image pixels are separated into previously determined classes according to their features. Th...
A SATELLITE IMAGE CLASSIFICATION APPROACH BY USING ONE DIMENSIONAL DISCRIMINANT ANALYSIS
Satellite Image Image Classification Linear Discriminant Analysis Dimension Reduction
2018/5/8
The classification problem in the image processing field is an important challenge, so that in the process image pixels are separated into previously determined classes according to their features. Th...
UNSUPERVISED WISHART CLASSFICATION OF WETLANDS IN NEWFOUNDLAND,CANADA USING POLSAR DATA BASED ON FISHER LINEAR DISCRIMINANT ANALYSIS
Polarimetric Synthetic Aperture Radar (PolSAR) Unsupervised Wishart Classification Fisher Linear Discrimination Feature Weighting
2016/11/23
Polarimetric Synthetic Aperture Radar (PolSAR) imagery is a complex multi-dimensional dataset, which is an important source of information for various natural resources and environmental classificatio...
HYPERSPECTRAL IMAGE FEATURE EXTRACTION BASED ON GENERALIZED DISCRIMINANT ANALYSIS
Hyperspectral Image Feature Extraction Generalized Discriminant Analysis Kernel Function
2015/12/30
The hyperspectral image enriches spectrum information, so compared with panchromatic image and multispectral image; it can classify the ground target better. The feature extraction of hyperspectral im...
Investigating of geometrical and asymptotical properties of hyperspectral data for discriminant analysis
Hyperspectral Feature extraction Discriminant analysis
2015/8/20
Hyperspectral images provide abundant information about objects. The high dimensionality of such images arise various problems
such as curse of dimensionality and large hypothesis space. There are tw...
Robust Fisher discriminant analysis
Fisher linear sensitive data convex model a numerical example
2015/8/10
Fisher linear discriminant analysis (LDA) can be sensitive to the problem data. Robust Fisher LDA can systematically alleviate the sensitivity problem by explicitly incorporating a model of data uncer...
Optimal kernel selection in kernel Fisher discriminant analysis
Kernel linear discriminant high dimensional feature space the implicit definition the kernel
2015/8/10
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance of KFDA depends on t...
Adaptive Discriminant Analysis for face recognition from Single Sample per Person
Adaptive Discriminant Single Sample
2013/7/24
Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition from Single Sample per...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling
each image set as a manifold, we...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis Spectral Transduction
2010/12/20
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction
and classification. In real-world applications when there is no sufficient labeled
data, LDA suffers from serious ...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis via Spectral Transduction
2013/7/16
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. In real-world applications when there is no sufficient labeled data, LDA suffers fro...
基于NIRS的反刍动物饲料中肉骨粉判别（Discriminant Analysis of Meat and Bone Meal Content in Ruminant Feed Based on NIRS）
反刍动物饲料 肉骨粉 近红外反射光谱
2009/8/11
收集国内常用的、具有代表性的精料补充料和肉骨粉，制备定标集样品235个，外部验证集样品152个。在400～2498nm波长范围内进行近红外光谱扫描，选择合适的光谱预处理方法和光谱范围，采用SIMCA方法和DPLS方法分别建立判别分析模型。建立的SIMCA判别分析模型对外部验证集的正确判断率为96.1%，建立的DPLS判别分析模型对外部验证集的正确判断率为100%。与NIRS定量分析精料补充料中MB...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image set as a manifold, we ...
Discriminant analysis for perceptionally comparable classes
Discriminant analysis perceptionally comparable classes
2010/12/17
Traditional discriminate analysis treats all the involved classes equally in the computation of the between-class scatter matrix. However, we find that for many vision tasks, the classes to be process...
In this paper, we propose a non-parametric Discriminant Analysis method (no assumption on the
distributions of classes), called Parzen Discriminant Analysis (PDA). Through a deep investigation on the...