搜索结果: 1-14 共查到“摄影测量与遥感技术 Clustering”相关记录14条 . 查询时间(0.156 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...
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...
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...
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...
AIRBORNE LASER SCANNING: CLUSTERING IN RAW DATA
Laser Scanning clustering DTM extraction entity extraction
2015/3/10
We implemented a strategy for terrain, vegetation and building detection, based on laser range data only. The result was obtained by working on raw data, so we were able to take advantage of the full ...
Hyperspectral remote sensing of paddy crop using insitu measurement and clustering technique
Spectroradiometer Hyperspectal measurements Waveform Clustering Nitrogen application Rice genotypes
2014/12/15
Rice Agriculture, mainly cultivated in South Asia regions, is being monitored for extracting crop parameter, crop area, crop growth profile, crop yield using both optical and microwave remote sensing....
AN EFFICIENT INITIALIZATION METHOD FOR K-MEANS CLUSTERING OF HYPERSPECTRAL DATA
K-means Clustering Initialization methods Unmixing MVES Hyperspectral data
2014/12/1
K-means is definitely the most frequently used partitional clustering algorithm in the remote sensing community. Unfortunately due to its gradient decent nature, this algorithm is highly sensitive to ...
Performance Comparison Of Evolutionary Algorithms For Image Clustering
Evolutionary Algorithms Backtracking Search Optimization Algorithm (BSA) Image Clustering
2014/9/29
Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for ima...
Building Roof Component Extraction from Panchromatic Satellite Images Using a Clustering-Based Method
Pan-chromatic image DSM Roof Type Detection Mask Refinement Clustering
2014/9/9
Developing fully automatic systems is still an active research topic in 3D building model reconstruction. While a general solution to the building reconstruction problem relies on collecting and group...
Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis
Change Detection principal component analysis fuzzy c-means clustering image differencing remote sensing bi-temporal satellite images
2014/4/22
Change detection analyze means that according to observations made in different times, the process of defining the change detection occurring in nature or in the state of any objects or the ability of...