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IMPROVING CLASSIFICATION ACCURACY VIA CONTEXTUAL FEATURE RANKING IN HIGH SPATIAL RESOLUTION SATELLITE IMAGERY
High Spatial Resolution Classification Texture Quantization Feature Ranking SVM
2015/12/31
Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
Perceiving layout and knowing distances:The interaction,relative potency,and contextual use of different information about depth. In W. Epstein & S
Perceiving layout knowing distances interaction relative potency contextua different information
2015/8/13
Perceiving layout and knowing distances:The interaction,relative potency,and contextual use of different information about depth. In W. Epstein & S.
CONTEXTUAL CLASSIFICATION OF REMOTELY SENSED DATA USING MAP APPROACH AND MRF
Remote sensing classification supervised Bayes contextual Markov optimisation
2015/7/29
A FRAMEWORK FOR AUTOMATIC LOW-RESOLUTION SATELLITE IMAGE INTERPRETATION BASED ON SPECTRAL, CONTEXTUAL AND MULTITEMPORAL KNOWLEDGE
Environment Agriculture Automation Knowledge base Fuzzy Logic Multitemporal
2015/5/29
This work proposes a framework for increasing the degree of automation of low-resolution satellite images interpretation procedures.Basically, the method starts with an image segmentation which, accor...
CONTEXTUAL CLASSIFICATION OF POINT CLOUDS USING A TWO-STAGE CRF
Classification Point Cloud Conditional Random Fields Contextual LiDAR Urban
2015/4/1
In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A tw...
An Intelligent Spatial Proximity System Using Neurofuzzy Classifiers and Contextual Information
GIS Decision Support Reasoning Artificial Intelligence Contextual Analysis
2014/11/28
In this paper, we propose a novel approach to reason with spatial proximity. The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proxim...
Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information
Context-Awareness Decision Support System (DSS) Mobile Geospatial Business Intelligence (GeoBI) Decision-Making Relevant Contextual Information Context Dimensions Context Modeling Context Sharing Context Structuring, BI Data
2013/3/5
With the requirements for high performance results in the today’s mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mo...
A Contextual Item-Based Collaborative Filtering Technology
Context Item-Based Collaborative Filtering
2013/1/28
This paper proposes a contextual item-based collaborative filtering technology, which is based on the traditional item-based collaborative filtering technology. In the process of the recommendation, u...
Recognizing realistic action using contextual feature gr oup
Action recognition Spatial-temporal local feature Local feature group Discriminate group distance Mahalanobis distance
2013/7/24
Although the spatial-temporal local features and the bag of visual words model (BoW) have achieved a great success and a wide adoption in action classification, there still remain some problems. Fir...
The Harmonic Theory; A mathematical framework to build intelligent contextual and adaptive computing, cognition and sensory system
Harmonic Theory mathematical framework sensory system Artificial Intelligence
2011/10/9
Abstract: Harmonic theory provides a mathematical framework to describe the structure, behavior, evolution and emergence of harmonic systems. A harmonic system is context aware, contains elements that...
Contextual Dictionaries for Image Super Resolution
Super resolution sparse representation contextual dictionary KSVD
2013/7/24
Traditional super resolution (SR) methods based on sparse representation have shown their excellent performance, however, the methods usually perform even worse when the input images and the training ...
AUTOMATED LAND-USE MAP PRODUCTION FROM AERIAL PHOTOGRAPHS OF PUERTO RICO USING A CONTEXTUAL RECLASSIFICATION ALGORITHM
land-use change modelling land-use mapping contextual reclassification aerial photography
2014/6/12
The Xplorah Planning Support Systems has been under development since 2000 to provide the Puerto Rico Planning Board with an advanced capacity to forecast land-use changes as the result of various sce...
USING PATCH METRICS AS VALIDATION FOR CONTEXTUAL CLASSIFICATION OF HEATHLAND VEGETATION
Hyper spectral Vegetation Classification Accuracy Spatial Contextual Hierarchical Quality
2014/6/12
This article presents a method to assess the accuracy of vegetation maps for which contextual information has been included in the classification process. It is well known that land use classification...
Effective Use of Linguistic and Contextual Information for SMT
Effective Use Linguistic Contextual Information SMT
2013/4/22
Effective Use of Linguistic and Contextual Information for SMT。
Robust Collective Classification with Contextual Dependency Network Models
Robust Collective Classification Contextual Dependency Network Models
2010/12/16
Abstract. In order to exploit the dependencies in relational data to improve predictions,
relational classification models often need to make simultaneous statistical
judgments about the class label...