搜索结果: 1-15 共查到“工学 Clustering”相关记录81条 . 查询时间(0.1 秒)
Analysis of atmospheric visibility degradation in early haze based on the nucleation clustering model
Early haze Initial nucleation process Heterogeneous cluster Visible-light absorption
2023/3/1
The initial nucleation of ultrafine particle recently attracts more attention as a key factor in visibility degradation during early haze. In this study, we have performed Density Functional Theory (D...
DENDROGRAM CLUSTERING FOR 3D DATA ANALYTICS IN SMART CITY
Smart City Dendrogram Clustering 3D Spatial Database 3D GIS Data Analytics Data Structure
2018/11/9
Smart city is a connection of physical and social infrastructure together with the information technology to leverage the collective intelligence of the city. Cities will build huge data centres. Thes...
MINING CO-LOCATION PATTERNS WITH CLUSTERING ITEMS FROM SPATIAL DATA SETS
Spatial data mining Clustering items Co-location patterns with clustering items Neighbor relationship Praticipation index
2018/5/17
The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the spatial data mining. Co-location patterns discovery is an important branch in spatial data minin...
A HYBRID APPROACH FOR PREDICTION OF CHANGES IN LANDSLIDE RATES BASED ON CLUSTERING AND A DECISION TREE
Landslides Prediction Two-step cluster Classification and regression tree (CART) White box model
2018/4/18
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
A HYBRID APPROACH FOR PREDICTION OF CHANGES IN LANDSLIDE RATES BASED ON CLUSTERING AND A DECISION TREE
Landslides, Prediction, Two-step cluster, Classification and regression tree (CART), White box model
2018/5/8
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
NON-TRIVIAL FEATURE DERIVATION FOR INTENSIFYING FEATURE DETECTION USING LIDAR DATASETS THROUGH ALLOMETRIC AGGREGATION DATA ANALYSIS APPLYING DIFFUSED HIERARCHICAL CLUSTERING FOR DISCRIMINATING AGRICULTURAL LAND COVER IN PORTIONS OF NORTHERN MINDANAO,PHILIPPINES
Image classification OBIA LiDAR Allometric relations Non-trivial feature derivations Euclidean transformation
2016/12/1
Leaning on the derived results conducted by Central Mindanao University Phil-LiDAR 2.B.11 Image Processing Component, the paper attempts to provides the application of the Light Detection and Ranging ...
CLASSIFICATION OF PHOTOGRAMMETRIC POINT CLOUDS OF SCAFFOLDS FOR CONSTRUCTION SITE MONITORING USING SUBSPACE CLUSTERING AND PCA
Scaffolding components Photogrammetric point clouds Subspace clustering PCA Classification
2016/7/28
This paper presents an approach for the classification of photogrammetric point clouds of scaffolding components in a construction site, aiming at making a preparation for the automatic monitoring of ...
HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION
Hyperspectral image nonlinear processing spatial max pooling SSC kernel
2016/7/28
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
A THREE-STEP SPATIAL-TEMPORAL-SEMANTIC CLUSTERING METHOD FOR HUMAN ACTIVITY PATTERN ANALYSIS
Human Activity Pattern Clustering Twitter
2016/7/8
How people move in cities and what they do in various locations at different times form human activity patterns. Human activity pattern plays a key role in in urban planning, traffic forecasting, publ...
UNSUPERVISED CLASSIFICATION OF POLARIMETRIC SAR DATA USING IMAGE CLUSTERING AND H/A/α DECOMPOSITION
Image Classification Data Clustering H/A/a Polarimetric SAR Iteration POLSARPRO
2016/3/17
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
AN ADAPTIVE CLUSTERING ALGORITHM BASED ON THE POSSIBILITY CLUSTERING AND ISODATA FOR MULTISPECTRAL IMAGE CLASSIFICATION
ISODATA Possibility Clustering Fuzzy Clustering
2015/12/31
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
CLUSTERING OF MULTI-TEMPORAL FULLY POLARIMETRIC L-BAND SAR DATA FOR AGRICULTURAL LAND COVER MAPPING
Kernel-Based Fuzzy C-means Crop Classification Polarimetric SAR Images Multi-Temporal Data Target Decompositions
2016/1/18
Recently, the unique capabilities of Polarimetric Synthetic Aperture Radar (PolSAR) sensors make them an important and efficient tool for natural resources and environmental applications, such as land...
Image processing;Road extraction;Space photogrammetry;Clustering;Updating
Vision sciences Photogrammetry Recognition Image Transformation Neural Networks
2015/12/9
Considering the problem of automatic traffic signs recognition in natural scene image (mainly including three kinds of traffic signs: yellow warning signs, red prohibition signs and blue mandatory sig...
Automatic Road Extraction from High Resolution Satellite Images Using Neural Networks, Texture Analysis, Fuzzy Clustering and Genetic Algorithms
Road Extraction Neural Networks Co-occurrence Texture Analysis Fuzzy Clustering Vectorization
2015/12/9
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...