搜索结果: 1-15 共查到“Feature”相关记录121条 . 查询时间(0.062 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:How to capture tourists' search behavior in tourism forecasts?A two-stage feature selection approach
旅游预测 游客 搜索行为 两阶段 特征选择方法
2023/5/16
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
A STATISTICAL TEXTURE FEATURE FOR BUILDING COLLAPSE INFORMATION EXTRACTION OF SAR IMAGE
Synthetic Aperture Radar (SAR), Building Collapse Information, Texture, G0 Distribution, Texture Parameter
2018/5/14
Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information, due to its extreme versatility and almost all-weather, day-and-night w...
DATUM FEATURE EXTRACTION AND DEFORMATION ANALYSIS METHOD BASED ON NORMAL VECTOR OF POINT CLOUD
Deformation Analysis Point Cloud Normal Vecto Datum Feature Cubic B-spline Curve
2018/5/15
In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extractin...
EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA
Building Damage Assessment Earthquake Emergency Feature Analysing SAR
2018/5/11
Playing an important role in gathering information of social infrastructure damage, Synthetic Aperture Radar (SAR) remote sensing is a useful tool for monitoring earthquake disasters. With the wide ap...
ROBUST FEATURE MATCHING IN TERRESTRIAL IMAGE SEQUENCES
Feature Detection Feature Matching SIFT SURF RANSAC 3D Reconstruction
2018/5/11
From the last decade, the feature detection, description and matching techniques are most commonly exploited in various photogrammetric and computer vision applications, which includes: 3D reconstruct...
BUILDING FACADE MODELING UNDER LINE FEATURE CONSTRAINT BASED ON CLOSE-RANGE IMAGES
Close-range Image Line Feature Building Modeling
2018/5/15
To solve existing problems in modeling facade of building merely with point feature based on close-range images , a new method for modeling building facade under line feature constraint is proposed in...
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北京师范大学认知神经科学与学习国重实验室薛贵教授以唯一作者在TICS发表feature review文章(图)
北京师范大学认知神经科学与学习国重实验室 薛贵 教授 feature review 记忆
2018/4/23
2018年4月, 北京师范大学认知神经科学与学习国家重点实验室薛贵教授在国际权威认知神经科学杂志《Trends in Cognitive Sciences》(五年影响因子:23.659)在线发表了题为”The Neural Representations Underlying Human Episodic Memory”的single-author综述文章。
记忆内容在大脑中是以什么样的形式组织...
FEATURE VECTOR CONSTRUCTION METHOD FOR IRIS RECOGNITION
Iris recognition Iris feature extraction Biometrics Mobile biometrics Quantization Encoding
2017/6/19
One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent compa...
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing
2016/1/26
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
Deep Learning of Feature Representation with Multiple Instance Learning for Medical Image Analysis
deep learning feature learning supervised un- supervised multiple instance learning
2016/1/22
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing Text Classification Ultrahigh Dimensional Data
2016/1/20
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
Study on the Target Feature Extraction from LIDAR Point Clouds
LIDAR Point Cloud Feature Extraction Edge Detection Digital Image Processing
2015/12/8
With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the impo...
Feature-Based Registration of Ground-Based LIDAR Point Clouds
Terrestrial LIDAR Multiple features Registration Similarity transformation Simultaneous adjustment
2015/12/8
Complete scene description by using terrestrial LIDAR systems usually requires multiple scans from different stations. Point cloud of each scan is associated to its own coordinate system on a station ...
An Approach from Point Cloud plus Feature Data to Grid DEM
DEM LIDAR Point Cloud Feature Data Pattern Recognition
2015/12/8
Data sets acquired by LIDAR consist of land surface information and non-surface information, through some filter methods can get rid of non-surface information, but leave behind non-data area, some im...