搜索结果: 1-15 共查到“知识库 理学 feature”相关记录36条 . 查询时间(0.046 秒)
A MULTI THREADED FEATURE EXTRACTION TOOL FOR SAR IMAGES USING OPEN SOURCE SOFTWARE LIBRARIES
software architecture feature extraction SAR images remote sensing applications algorithms of high complexity multi-threaded platform
2019/2/27
In this paper, we propose a software architecture for a feature extraction tool which is suitable for automatic extraction of sparse features from large remote sensing data capable of using higher ord...
ALEXNET FEATURE EXTRACTION AND MULTI-KERNEL LEARNING FOR OBJECTORIENTED CLASSIFICATION
AlexNet GLCM texture Multi-kernel learning Object-oriented classification feature extraction SVM
2018/5/11
In view of the fact that the deep convolutional neural network has stronger ability of feature learning and feature expression, an exploratory research is done on feature extraction and classification...
RESEARCH ON OPTIMAL OBSERVATION SCALE FOR DAMAGED BUILDINGS AFTER EARTHQUAKE BASED ON OPTIMAL FEATURE SPACE
Optimal Feature Space Damaged Buildings ESP Scale Accuracy
2018/5/11
A new information extraction method of damaged buildings rooted in optimal feature space is put forward on the basis of the traditional object-oriented method. In this new method, ESP (estimate of sca...
FEATURE RELEVANCE ASSESSMENT OF MULTISPECTRAL AIRBORNE LIDAR DATA FOR TREE SPECIES CLASSIFICATION
Multispectral Lidar 3D point clouds Intensity Tree Species Classification Feature Analysis
2018/5/11
The presented experiment investigates the potential of Multispectral Laser Scanning (MLS) point clouds for single tree species classification. The basic idea is to simulate a MLS sensor by combining t...
OPTIMIZING RADIOMETRIC PROCESSING AND FEATURE EXTRACTION OF DRONE BASED HYPERSPECTRAL FRAME FORMAT IMAGERY FOR ESTIMATION OF YIELD QUANTITY AND QUALITY OF A GRASS SWARD
Hyperspectral Photogrammetry Calibration Feature Estimation
2018/5/15
Light-weight 2D format hyperspectral imagers operable from unmanned aerial vehicles (UAV) have become common in various remote sensing tasks in recent years. Using these technologies, the area of inte...
he dominant feature in the magnetic declination record at all European sites for which adequate data are available is a minimum between 1750 and 1860. The time of minimum at different sites correlates...
CONVEYING LOCAL AND GLOBAL EFFECTS OF SEA LEVEL RISE WITHIN AN HDTV FEATURE FILM PRODUCTION
Sea Level Rise cryosphere public education 3d geovisualization
2015/9/28
New York’s American Museum of Natural History produces and distributes original geovisualizations to a potential audience
exceeding 20 million in the United States, Canada, and Australia via its own...
Higher Criticism Thresholding: Optimal Feature Selection when Useful Features are Rare and Weak
Criticism Thresholding Feature Selection
2015/8/21
Linear classi cation analysis is a fundamental tool for science
and technology. In important application elds today { genomics and proteomics are examples { one automatically obtains very high-dimen...
Feature Extraction for Nonparametric Discriminant Analysis
ClassiŽ cation Density estimation Dimension reduction LDA Projection pursuit Reduced-rankmodel SAVE
2015/8/21
In high-dimensional classification problems, one is often interested in ?? finding a few important discriminant directions in order to reduce the dimensionality.Fisher’s linear discriminant analysis(L...
“PRECONDITIONING” FOR FEATURE SELECTION AND REGRESSION IN HIGH-DIMENSIONAL PROBLEMS
Model selection prediction error lasso
2015/8/21
We consider regression problems where the number of predictors greatly exceeds the number of observations. We propose a method for variable selection that first estimates the regression function, yiel...
A fused lasso latent feature model for analyzing multi-sample aCGH data
Cancer DNA copy number False discovery rate Mutation
2015/8/21
Array-based comparative genomic hybridization (aCGH) enables the measurement of DNA copy number across thousands of locations in a genome. The main goals of analyzing aCGH data are to identify the reg...
Pattern Recognition with Slow Feature Analysis
Characteristic analysis nonlinear function the input data the function of learning
2015/7/31
Slow feature analysis (SFA) is a new unsupervised algorithm to learn nonlinear functions that extract slowly varying signals out of the input data. In this paper we describe its application to pattern...
FEATURE TYPE EFFECTS IN SEMANTIC MEMORY: AN EVENT RELATED POTENTIALS STUDY
Differential the semantics of the senses nerve tissue semantic concepts biological systems
2015/7/31
It is believed that the N400 elicited by concepts belonging to Living is larger than N400 to Objects. This is considered as evidence that concepts are organized, in the brain, on the basis of categori...
FEATURE EXTRACTION OF HYPERSPECTRAL IMAGES USING MATCHING PURSUIT
Hyper-Spectral Sensing Wavelet Transform Matching Pursuit Feature Extraction Classification
2015/7/30
Hyperspectral images contain rich and fine spectral information, an improvement of land use/cover classification accuracy is
expected from the use of such images. However, the classification methods...
INTEGRATION AND USAGE OF INDICES, FEATURE COMPONENTS AND TOPOGRAPHY IN VEGETATION CLASSIFICATION FOR REGIONAL BIODIVERSITY ASSESSMENT
Remote Sensing Vegetation Classification Accuracy Ecology Spectral
2015/7/29
The classification of vegetation has been an important research subject in botany, ecology, geography, and other disciplines
to map the differences in vegetation types. Classifying vegetation by rem...