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IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
PAIRWISE-SVM FOR ON-BOARD URBAN ROAD LIDAR CLASSIFICATION
LiDAR on-board classifiaction SVM MRF
2016/7/4
The common method of LiDAR classifications is Markov random fields (MRF). Based on construction of MRF energy function, spectral and directional features are extracted for on-board urban point clouds....
CLASSIFICATION OF MODIS SPECTRAL AND ANGULAR SIGNATURES USING DECISION TREE ALGORITHM
MODIS BRDF Land Cover Classification BRDF shape indicator BRDF parameters
2015/12/31
It is important to explore the ability of Bidirectional Reflectance Distribution Function (BRDF) to improve classification accuracy using MODerate Resolution Imaging Spectroradiometer (MODIS) BRDF and...
OVERALL UNCERTAINTY OF GEOREFERENCING AND CLASSIFICATION
Bayesian classification Georeferencing Geometric transformation Bayesian estimation Fuzzy region
2015/9/28
These two sources are embraced in the overall spatial precision of geographic objects. It is assumed that several geographic objects are given as a result of Bayesian classification of a given digital...
GEOMETRIC REGISTRATION AND CLASSIFICATION OF HYPERSPECTRAL AIRBORNE PUSHBROOM DATA
Mathematical models Orientation Hyperspectral Image registration Remote sensing Multispectral Classificationa
2015/2/3
Innovative geometric modeling techniques involving stochastic constraints and linear feature exploitation have been demonstrated to yield good results in the rectification of hyperspectral airborne pu...