搜索结果: 1-15 共查到“测绘科学技术 Clustering”相关记录28条 . 查询时间(0.078 秒)
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...
Contour Clustering Analysis for Building Reconstruction from LIDAR Data
Contour Clustering,Shape Matching Building Reconstruction LIDAR
2015/12/8
Automatic building reconstruction from LIDAR data has become a hot topic for several years. Many methods and algorithms have been put forward to reconstruct the building models, such as of flat roof, ...
A Clustering Algorithm of Land Grades Based on Cloud Histogram
Land Grade Cloud Model Histogram Clustering Algorithm
2015/12/2
This paper analyzes the drawbacks of traditional land grade clustering method, introduces cloud model into the frequency histogram drawing process, and advances the land grade clustering method based ...
A Support Vector Clustering Based Approach for Spatiotemporal Analysis in Security Informatics
Spatiotemporal clustering kernel methods modeling spatiotemporal helix
2015/12/1
Security informatics involves the application of information technology to protect public health and security. A common research topic in security informatics is the identification and representation ...
Quality Assessment in Spatial Clustering of Data Mining
Spatial Data Mining Quality Assessment Clustering Compactness Separation
2015/9/28
Because of the use of computers and its advances in scientific data handling and advancement of various geo and space borne sensors, we are now faced with a large amount of data. Therefore, the develo...
ECOLOGICAL ENVIRONMENT QUALITY COMPREHENSIVE EVALUATION MODEL BASED ON GREY CLUSTERING
ecological environment quality comprehensive evaluation e-government grey clustering whitening function
2015/8/10
Ecological environment quality comprehensive evaluation evaluate different cells’ ecological environment quality, on the basis of region eco-environment investigation , the indexes and math methods se...