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A GENETIC ALGORITHM BASED WRAPPER FEATURE SELECTION METHOD FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES USING SUPPORT VECTOR MACHINE
Feature Selection Hyperspectral Genetic Algorithm Supported Vector Machine
2015/12/31
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
COMPARISON OF FEATURE SELECTION TECHNIQUES FOR SVM CLASSIFICATION
Support Vector Machines Feature Selection Exhaustive Search
2015/9/8
The use of satellite imagery in the derivation of land cover information has yielded immense dividends to numerous application fields
such as environmental monitoring and modeling, map making and rev...
INNOVATIVE FEATURE SELECTION USED IN MULTISPECTRAL IMAGERY CLASSIFICATION FOR WATER QUALITY MONITORING
Remote Sensing ASTER Feature Selection Classifi cation Algorithms Land cover
2015/7/30
For the purposes of our study, an ASTER satellite image was used, acquired on 5 October, 2001, with
14 spectral bands resampled at the spatial resolution of 15 m. The study area concerns the geograph...
FEATURE SELECTION BY USING CLASSIFICATION AND REGRESSION TREES (CART)
Hyper-spectral Classification Feature Extraction Remote Sensing Pattern Recognition Agriculture
2015/7/29
Hyper-spectral remote sensing increases the volume of information available for research and practice, but brings with it the need for
efficient statistical methods in sample spaces of many dimensio...
RANDOM FORESTS-BASED FEATURE SELECTION FOR LAND-USE CLASSIFICATION USING LIDAR DATA AND ORTHOIMAGERY
Lidar imagery Random Forests Classification Feature selection
2014/4/29
The development of lidar system, especially incorporated with high-resolution camera components, has shown great potential for urban classification. However, how to automatically select the best featu...
Feature selection from high resolution remote sensing data for biotope mapping
Feature selection/extraction texture biotope/habitat mapping
2014/6/5
Mapping of Landscape Protection Areas with regard to user requirements for detailed land cover and biotope classes has been limited
by the spatial and temporal resolution of Earth observation data. ...
FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF SUB-DECIMETER RESOLUTION DIGITAL AERIAL IMAGERY
object-based image analysis (OBIA) feature selection high resolution aerial photography vegetation classification accuracy
2014/6/12
The availability of numerous spectral, spatial, and contextual features renders the selection of optimal features a time consuming and subjective process in object-based image analysis (OBIA). While ...