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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
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
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
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
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
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...
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
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...
CHANGE DETECTION OF MULTI-POLARIMETRIC SAR DATA BASED ON PRINCIPAL COMPONENT ANALYSIS
Polarimetric SAR Change detection Principal component analysis
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
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...