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上海财经大学信息管理与工程学院数据挖掘课件 Decision Tree Classifiers
上海财经大学 信息管理与工程学院 数据挖掘 课件 Decision Tree Classifiers
2019/7/24
上海财经大学信息管理与工程学院数据挖掘课件 Decision Tree Classifiers。
上海财经大学信息管理与工程学院数据挖掘课件 Nearest Neighbor Classifiers
上海财经大学 信息管理与工程学院 数据挖掘 课件 Nearest Neighbor Classifiers
2019/7/24
上海财经大学信息管理与工程学院数据挖掘课件 Nearest Neighbor Classifiers。
上海财经大学信息管理与工程学院数据挖掘课件 Bayesian Classifiers。
SYNTHETIC APERTURE RADAR (SAR) BASED CLASSIFIERS FOR LAND APPLICATIONS IN GERMANY
LBM-DE Land cover polarimetry SAR Sentinel-1 Sentinel-2
2016/7/5
Land cover information is essential for urban planning and for land cover change monitoring. This paper presents an overview of the work conducted at the Federal Agency for Cartography and Geodesy (BK...
We show how interpolants can be viewed as classifiers in supervised machine learning. This view has several advantages: First,we are able to use off-the-shelf classification techniques, in particular ...
Information fusion in tree classifiers
Hierarchial classification Information Fusion Neural Networks
2016/5/20
Three methods of fusing information from maximum liklihood and neural network methods for multispectral
data classification are discussed in this paper. The purpose of the fusion is to ...
URBAN LAND-COVER MAPPING AND CHANGE DETECTION WITH RADARSAT SAR DATA USING NEURAL NETWORK AND RULE-BASED CLASSIFIERS
Urban High resolution SAR Land use/Land cover Mapping Classification Change Detection
2016/1/3
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
NEAREST CONVEX HULL CLASSIFIERS FOR REMOTE SENSING CLASSIFICATION
Pattern recognition Classification Image understanding Accuracy analysis Land cover
2015/12/31
This paper introduces a new approach, nearest convex hull (NCH), for remote sensing classification. NCH is an intuitive classification method which labels the test point as the training class whose co...
Weighted combination of multiple classifiers for the classification of hyperspectral images using a genetic algorithm
hyperspectral classification multiple classifiers,
2015/8/20
The improved spectral resolution of modern hyperspectral sensors provides effective means for discrimination of subtly
different classes and objects. However, in order to obtain statistically reliabl...
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS
Ability neural network classifier
2015/2/3
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS.
Multiple Classifiers and Graph Cut Methods for Spectral Spatial Classification of Hyperspectral Image
Hyperspectral image classification Multiple classifier system Spectral spatial classification Random subspace method
2014/12/15
Hyperspectral image contains fine spectral and spatial resolutions for generating accurate land use and land cover maps. Supervised classification is the one of method used to exploit the information ...
An Intelligent Spatial Proximity System Using Neurofuzzy Classifiers and Contextual Information
GIS Decision Support Reasoning Artificial Intelligence Contextual Analysis
2014/11/28
In this paper, we propose a novel approach to reason with spatial proximity. The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proxim...
OPTIMISATION OF FUZZY BASED SOFT CLASSIFIERS FOR REMOTE SENSING DATA
Fuzzy c-Mean (FCM) Possiblistic c-Mean (PCM) Noise clustering (NC) Sub pixel confusion uncertainty matrix (SCM)
2014/4/28
Classification of satellite images are complex process and accuracy of the output is dependent on classifier parameters. This paper examines the effect of various parameters like weighted exponent "m"...
PERFORMANCE EVALUATION OF ROAD AND BUILDING CLASSIFIERS ON VHR IMAGES
Support vector machine mean shift classifier combination very high spatial resolution image
2014/6/12
A method is proposed for building and road detection on VHR multispectral aerial images of dense urban areas. Spatial and spectral features of segmented areas are classified us...
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Hierarchical Ensemble of Global Local Classifiers Face Recognition
2010/12/20
In the literature of psychophysics and neurophysiology,many studies have shown that both global and local features are crucial for face representation and recognition. This paper
proposes a novel fac...