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AUTOMATIC ROAD EXTRACTION FROM LIDAR DATA BASED ON CLASSIFIER FUSION IN URBAN AREA
LIDAR Road Extraction Classifier Fusion Classifier selection Genetic Algorithm
2016/2/29
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR
data in urban area are used mostly to deal with the 3D points cloud an...
Multiple classifier combination for target identification from high resolution remote sensing image
Multiple Classifier Combination High resolution remote sensing Target identification Boosting Bagging Classifier selection Non-linear combination
2016/1/25
Target identification from high resolution remote sensing image is a common task for many applications. In order to improve the performance of target identification, multiple classifier combination is...
A INTEGRATED CLASSIFIER FOR LARGE REGIONAL-SCALE LAND-COVER CLASSIFYING
Remote sensing Land Cover Classification Algorithms
2015/12/31
With a lot of successful applications of neural network-based classification, it has been recognized the classification can produce more accurate results than conventional approaches for remotely-sens...
A DECISION TREE CLASSIFIER FOR THE MONITORING OF WETLAND VEGETATION USING ASTER DATA IN THE POYANG LAKE REGION,CHINA
Satellite Remote Sensing Classification Space Photogrammetry Spatial Analysis Environmental Monitoring Landuse Digital eEevation Models (DEMs) Multi-Spectral Image
2015/12/28
This paper examines the applicability of binary decision tree (DT) classifier and ASTER data for the monitoring of wetland vegetation at plant family level (eight dominant plant families in the study ...
A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER
Segmentation Scale parameter Object-based Image Analysis Land Cover Classification
2016/1/15
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses. Due to the strong...
Successive pattern learning based on test feature classifier and its application to dynamic recognition problems
classifi cation test feature classifi er successive learning dynamic recognition problem
2015/8/25
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
A comparison of the performance of fuzzy algorithm versus statistical algorithm based sub-pixel classifier for remote sensing data
Fuzzy c-Means (FCM) Possibilistic c-Means (PCM) Maximum Likelihood Classifier (MLC)
2015/8/20
It is found that sub-pixel classifiers for classification of multi-spectral remote sensing data yield a higher accuracy. With this
objective, a study has been carried out, where fuzzy set theory base...
CLASSIFIER FOR REMOTELY SENSED IMAGERY USING KOHONEN ’S SELF-ORGANIZING FEATURE MAP WITH REGION GROWING
Remotely Sensed Imagery Self-Organizing Feature Map Region Growing Polar coordinate System
2015/2/4
Applying the region growing to the Kohonen’s self-organizing feature map, a non-supervised classifier for remotely
sensed imagery data is proposed. If the self-organizing feature map is made large e...
CLASSIFIER FUSION OF HIGH-RESOLUTION OPTICAL AND SYNTHETIC APERTURE RADAR (SAR) SATELLITE IMAGERY FOR CLASSIFICATION IN URBAN AREA
Classifier Fusion SAR Images Optical Images Feature Extraction Classification
2014/12/1
This study concerned with fusion of synthetic aperture radar and optical satellite imagery. Due to the difference in the underlying sensor technology, data from synthetic aperture radar (SAR) and opti...
MOTION COMPONENT SUPPORTED BOOSTED CLASSIFIER FOR CAR DETECTION IN AERIAL IMAGERY
Vehicle detection AdaBoost HoG features Aerial image sequence Motion mask
2014/5/8
Research of automatic vehicle detection in aerial images has been done with a lot of innovation and constantly rising success for years. However information was mostly taken from a single image only. ...
Low-Power Themes Classifier (LPTC): A Human-Expert-Based Approach for Classification of Scientific Papers/Theses with Low-Power Theme
Natural Language Processing (NLP) Semantic Web Term Extraction Text Categorization Resource Description Framework (RDF) Low-Power Theme
2013/1/28
Document classification is widely applied in many scientific areas and academic environments, using NLP techniques and term extraction algorithms like CValue, TfIdf, TermEx, GlossEx, Weirdness and the...
RANDOM FORESTS BASED MULTIPLE CLASSIFIER SYSTEM FOR POWER-LINE SCENE CLASSIFICATION
LIDAR Classification Corridor Mapping Random Forests Multiple Classifier System Power-line
2014/6/5
The increasing use of electrical energy has yielded more necessities of electric utilities including transmission lines and electric pylons which require a real-time risk monitoring to prevent massive...
TEMPORAL INDICES DATA FOR SPECIFIC CROP DISCRIMINATION USING FUZZY BASED NOISE CLASSIFIER
Indices Fuzzy Error Matrix (FERM) Noise Classifier (NC)
2014/4/30
Evaluation of fuzzy based classifier to identify and map a specific crop using multi-spectral and time series data spanning over one growing season. The temporal data is pre-processed with respect to ...
A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier
Computer-Aided Diagnosis System Breast Cancer Independent Component Analysis Fuzzy Classifier
2009/9/4
Screening mammograms is a repetitive task that causes fatigue and eye strain since for every thousand cases analyzed by a radiologist, only 3–4 are cancerous and thus an abnormality may be overlooked....
ERIAL IMAGES AND LIDAR DATA FUSION FOR AUTOMATIC FEATURE EXTRACTION USING THE SELF-ORGANIZING MAP (SOM) CLASSIFIER
Aerial Images Lidar, GLCM Attributes Building Detection
2016/2/29
This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based
on test data from two different study areas with different character...