搜索结果: 1-15 共查到“工学 Regression”相关记录64条 . 查询时间(0.14 秒)
ESTIMATION OF MONTHLY NEAR SURFACE AIR TEMPERATURE USING GEOGRAPHICALLY WEIGHTED REGRESSION IN CHINA
Near Surface Air Temperature Land Surface Temperature Geographically Weighted Regression MODIS Remote Sensing, Geographically Information System
2018/5/15
Near surface air temperature (NSAT) is a primary descriptor of terrestrial environment conditions. The availability of NSAT with high spatial resolution is deemed necessary for several applications su...
A COMPARISON OF TWO STRATEGIES FOR AVOIDING NEGATIVE TRANSFER IN DOMAIN ADAPTATION BASED ON LOGISTIC REGRESSION
Transfer learning Domain Adaptation Negative Transfer Remote Sensing
2018/6/4
In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge...
中国地质大学科学技术发展院陈略峰, 吴敏等自动化学院 Information Sciences, 2018. Softmax Regression Based Deep Sparse Autoencoder Network for Facial Emotion Recognition in Human-Robot Interaction
深度；学习；情感；识别；理解；计算；智能；领域
2021/10/21
近日，中国地质大学自动化学院复杂系统先进控制与智能自动化湖北省重点实验室情感计算团队，有关“基于深度学习的情感识别与理解”研究成果发表在计算智能领域国际重要期刊《Information Sciences》上。该文第一作者为自动化学院陈略峰老师，通讯作者为自动化学院吴敏教授。
AN ENHANCED ALGORITHM FOR AUTOMATIC RADIOMETRIC HARMONIZATION OF HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY USING PSEUDOINVARIANT FEATURES AND LINEAR REGRESSION
Radiometric Harmonization Pseudo-Invariant Features Sentinel-2 Remote Sensing Copernicus GIO HRL Forest
2017/7/12
The growing number of available optical remote sensing data providing large spatial and temporal coverage enables the coherent and gapless observation of the earth’s surface on the scale of whole coun...
APPLICATION OF SOFTMAX REGRESSION AND ITS VALIDATION FOR SPECTRAL-BASED LAND COVER MAPPING
Softmax Regression Classification Land Cover Multispectral Hyperspectral Desktop Enterprise
2017/7/13
The presented Softmax Regression classifier is a generalization of logistic regression. It is used for multi-class classification, where classes are mutually exclusive. Implemented in a classification...
MODELLING THE RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND LANDSCAPE PATTERNS OF LAND USE LAND COVER CLASSIFICATION USING MULTI LINEAR REGRESSION MODELS
Land Surface Temperature Land Use Land Cover Multiple Linear Regression LiDAR Spatial Metrics
2016/12/1
The threat of the ailments related to urbanization like heat stress is very prevalent. There are a lot of things that can be done to lessen the effect of urbanization to the surface temperature of the...
ESTIMATING DBH OF TREES EMPLOYING MULTIPLE LINEAR REGRESSION OF THE BEST LIDAR-DERIVED PARAMETER COMBINATION AUTOMATED IN PYTHON IN A NATURAL BROADLEAF FOREST IN THE PHILIPPINES
DBH Estimation ALS Multiple Linear Regression Python Broadleaf Forest Forestry
2016/11/30
Diameter-at-Breast-Height Estimation is a prerequisite in various allometric equations estimating important forestry indices like stem volume, basal area, biomass and carbon stock. LiDAR Technology ha...
THE OPTIMIZED BLOCK-REGRESSION-BASED FUSION ALGORITHM FOR PANSHARPENING OF VERY HIGH RESOLUTION SATELLITE IMAGERY
Remote sensing Satellite imagery Very high resolution Image fusion
2016/11/24
Pan-sharpening of very high resolution remotely sensed imagery need enhancing spatial details while preserving spectral characteristics, and adjusting the sharpened results to realize the different em...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
A MULTIVARIATE REGRESSION ANALYSIS FOR DERIVING ENGINEERING PARAMETERS OF EXPANSIVE SOILS FROM SPECTRAL REFLECTANCE
Expansive soils PLSR spectroscopy engineering parameters absorption feature parameters
2016/1/3
Soil expansiveness is a major problem that need due attention in geotechnical investigations. It can detrimentally influence performance and life time of lightweight engineering infrastructures. For t...
ANALYSIS OF LANDSLIDE HAZARD MAPPING METHODS:REGRESSION MODELS VERSUS WEIGHT RATING
Susceptibilty Quantitative Method Qualitative Method Spatial Regression Logistic Regression Heuristic Approach ROC Curve
2015/12/28
Hazards due to landslides cause huge sufferings to human and substantial economic and environmental losses throughout the world. For the assessment of the landslide hazard, different methodological ap...
SNOW DEPTH ESTIMATION USING TIME SERIES PASSIVE MICROWAVE IMAGERY VIA GENETICALLY SUPPORT VECTOR REGRESSION (CASE STUDY URMIA LAKE BASIN)
Urmia Basin Snow Depth Support Vector Regression Wavelet Denoising Genetic Algorithm band reduction
2016/1/15
Lake Urmia is one of the most important ecosystems of the country which is on the verge of elimination. Many factors contribute to this crisis among them is the precipitation, paly important roll. Pre...
AN EFFECTIVE HYBRID SUPPORT VECTOR REGRESSION WITH CHAOS-EMBEDDED BIOGEOGRAPHY-BASED OPTIMIZATION STRATEGY FOR PREDICTION OF EARTHQUAKE-TRIGGERED SLOPE DEFORMATIONS
Earthquake Support Vector Regression Biogeography-based Optimisation Displacement Hazard
2016/1/15
Earthquake can pose earth-shattering health hazards to the natural slops and land infrastructures. One of the chief consequences of the earthquakes can be land sliding, which is instigated by durable ...
PREDICTION OF WIND SPEEDS BASED ON DIGITAL ELEVATION MODELS USING BOOSTED REGRESSION TREES
Digital Elevation Model Wind Speed Non-Parametric Regression
2016/1/15
In this paper a new approach is presented to predict maximum wind speeds using Gradient Boosted Regression Trees (GBRT). GBRT are a non-parametric regression technique used in various applications, su...
USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA
Land Use Change Data Mining Multivariate Adaptive Regression Spline Artificial Neural Network Receiver Operating Characteristic
2016/1/15
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...