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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 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 ...
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...