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MULTI-SPECTRAL IMAGE ANALYSIS BASED ON DYNAMICAL EVOLUTIONARY PROJECTION PURSUIT
multi-spectral image projection pursuit dynamical evolutionary algorithm
2015/8/10
Principal component analysis (PCA) is usually used for compressing information in multivariate data sets by computing orthogonal projections that maximize the amount of data variance. PCA is effective...
Classification of Multi-spectral, Multi-temporal And Multi-sensor Images Using Principal Components Analysis and Artificial Neural Networks: Beykoz Case
Land Cover Classification Artificial Neural Networks
2015/7/9
The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they
provide spatial and temporal information about the nature of Earth su...
AUTOMATIC LINEAR FEATURE EXTRACTION OF IRANIAN ROADS FROM HIGH RESOLUTION MULTI-SPECTRAL SATELLITE IMAGERY
Extraction Fuzzy Logic IKONOS
2015/6/2
Attaining geospatial information is a challenge for many scientific practitioners. Such information is a necessary tool for spatial
decision making. Remote Sensing (RS) is the leading art/science pr...
Multi-resolution and multi-spectral image fusion for urban object extraction
Digital Urban Object
2015/6/1
A new approach for object extraction from high-resolution satellite images is presented in this paper. The new approach integrates
image fusion, multi-spectral classification, feature extraction and...