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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 ...
HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
The Uncertainty Inquiry of Land Price Information Based on Cloud Model
Land Price Information Uncertainty Inquiry Cloud Model
2015/12/2
This paper takes the cloud model into land price information inquiry, using cloud model to express the spatial concept and the attributes of spatial entity described with qualitative language, it inte...
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...
TOWARDS UNCERTAINTY-BASED GEOGRAPHIC INFORMATION SCIENCE (PART B)–THEORIES OF MODELING UNCERTAINTIES IN SPATIAL ANALYSES
uncertain GIS uncertainty analysis spatial analysis multi-data source analysis overlay buffer line simplification uncertainty-based spatial mining quality control
2015/8/10
Within the framework of uncertainty-based geographic information science, this paper addresses modeling uncertainties in integrating multiple sources of data, modeling uncertainty in overlay analysis,...