搜索结果: 1-15 共查到“工学 Principal Component”相关记录16条 . 查询时间(0.078 秒)
Network Degradation Assessed by Evolved Gas Analysis-Mass Spectrometry Combined with Principal Component Analysis (EGA-MS-PCA): A Case of Thermo-Oxidized Epoxy/Amine Network
ULTRAVIOLET-IRRADIATION MECHANICAL-PROPERTIES BUTADIENE RUBBER EPOXY-RESINS TEMPERATURE PYROLYSIS COATINGS TRANSITION OXIDATION SCISSION
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2023/11/16
To study the degradation of thermosetting polymers, we apply a novel method to simultaneously study the chemical structural changes and network topology: evolved gas analysis-mass spectrometry combine...
AUTOMATIC CLASSIFICATION METHODS OF HIGH-RESOLUTION SATELLITE IMAGES:THE PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE SAMPLE TRAINING SET
Remote Sensing IKONOS Classification Land Cover Processing Georeferencing
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2015/12/31
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
DETECTION AND INTERPRETATION OF GEOLOGICAL LINEAR FEATURES ON THE SATELLITE IMAGES BY USING GRADIENT FILTERING AND PRINCIPAL COMPONENT ANALYSIS
Geological Linear Feature Edge Detections Filtering Remote Sensing Landsat
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2015/12/29
Digital image processing has the ability to detect geological linear features on the image by using some algorithms. The most common algorithm which is used for this purpose is edge filtering. Gradien...
Improving and Extending the Information on Principal Component Analysis for Local Neighborhoods in 3D Point Clouds
Laser Scanning Point clouds Curvature Approximation
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2015/12/16
Principal Component Analysis (PCA) is often utilised in point cloud processing as provides an efficient method to approximate local
point properties through the examination of the local neighbourhood...
Improving Satellite Quickbird-Based Identification Of Landscape Archaeological Features Through Principal Component Analysis And Tasseled Cap Transformation
Remote Sensing Archaeology QuickBird Satellite High resolution
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2015/11/12
In this paper, the Tasseled Cap Transformation (TCT) was applied to QuickBird multispectral images for extracting archaeological features linked to ancient human transformations of the landscape. The ...
DETECTION OF HOTSPOTS IN NOAA/AVHRR IMAGES USING PRINCIPAL COMPONENT ANALYSIS AND INFORMATION FUSION TECHNIQUE
Hotspots NOAA/AVHRR Satellite Imaging
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2015/8/28
India accounts for the world’s greatest concentration of coal fires which cause several devastating environmental effects. Only Jharia
Coal Field (JCF) in Jharkhand (India) contains nearly half of su...
Stable Principal Component Pursuit
Principal Component Pursuit
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2015/6/17
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross sparse errors. Recently,...
ASSESSING LAND COVER CHANGES USING STANDARDIZED PRINCIPAL COMPONENT AND SPECTRAL ANGLE MAPPING TECHNIQUES
Digital landsat mapper thematic mapper spectral Angle mapping semi-arid desert sparse vegetation sensitive to climate change
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2015/5/13
This paper reports a practical application of digitally enhanced Landsat Thematic Mapper (TM) and Enhanced
Thematic Mapper Plus (ETM+) data coupled with principal component analysis (PCA) and spectr...
OBJECT SEGMENTATION WITH REGION GROWING AND PRINCIPAL COMPONENT ANALYSIS
Principal Component Analysis Tensorization
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2015/3/24
The paper considers the problem of object segmentation and shape recognition in discrete noisy data. Two different algorithms
combine region growing techniques with principal component analysis. The...
CHANGE DETECTION OF MULTI-POLARIMETRIC SAR DATA BASED ON PRINCIPAL COMPONENT ANALYSIS
Polarimetric SAR Change detection Principal component analysis
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2014/4/24
Recently, Polarimetric SAR (PolSAR) techniques have been much studied as hot research topics in the area of SAR. The objective
of this paper is to assess the Principal component analysis (PCA) techn...
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
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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...
POLE-LIKE OBJECTS RECOGNITION FROM MOBILE LASER SCANNING DATA USING SMOOTHING AND PRINCIPAL COMPONENT ANALYSIS
Mobile Laser Scanning Object Recognition Laplacian Smoothing Point Clouds Principal Component Analysis Pole-like Objects
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2014/6/5
With the spread of the Mobile Laser Scanning (MLS) system, the demands for the management of road and facilities using MLS point clouds have increased. Especially, pole-like objects such as streetligh...
PRINCIPAL COMPONENT ANALYSIS FOR TEXTURAL PROPERTIES OF SELECTED BLOOD CURD
Blood curd PCA physicochemical sensory TPA
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2012/8/14
Mechanical tests, sensory evaluation and chemical analysis were performed to assess textural characteristics of blood curd (Zisheokwai, a popular Chinese animal blood food; five short shelf life produ...
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Principal Component Analysis
Multiblock kernel methods Nonlinear Component Analysis Process Monitoring Fault detection
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2009/9/9
In this paper, a multiblock kernel principal component analysis (MBKPCA) algorithm is proposed. Then a new fault detection and diagnosis approach based on MBKPCA is proposed to monitor large-scale pro...
Unified Principal Component Analysis with Generalized Covariance Matrix for Face Recognition
Unified Principal Component Analysis Covariance Matrix Face Recognition
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2010/12/20
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these methods, and a novel framew...