Oriented Classification
The effect of spatial resolution on an object-oriented classification of downed timber
... Object- oriented classification techniques require minimal user input to remotely classify large areas and may be utilized to provide timely and accurate damage assessments of affected ...
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The Building Extraction Based on Object Oriented Classification Method in High Vegetation Coverage Area
... object oriented classification rule ...object oriented classifica- tion method can quickly and accurately extract the high vegetation coverage area of the ...
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Object oriented classification of Ikonos satellite data for the identification of tree species composition
... the classification of 4-m Ikonos data could be performed with relatively high ...to classification was high for Sobel Edge detector, IHS transformation and low-pass fil- ...The classification rules ...
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Double Polarization SAR Image Classification based on Object Oriented Technology
... land-cover classification using optical images based on object-oriented ...of classification improves significantly compared with the traditional classification methods ...object- ...
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When to Detect Changes in Object-Based Image Analysis: Before or after Classification?
... Object-oriented classification in the eCognition® software provides two classifiers: decision tree (DT) and nearest neighbor ...The classification accuracy of DT is higher than that of the NN ...
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Forecaster: Forecast Oriented Feature Elimination-based Classification of Adverse Spatio-Temporal Extremes
... In this paper, the spatio-temporal extreme event prediction problem has been modeled as a supervised machine learning problem. We have presented Fore- caster , a feature elimination-based ensemble of classifiers for ...
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Coastline carrying capacity monitoring and assessment based on GF-1 satellite remote sensing images
... The coastline of Zhejiang is the most intensively developed region in China for industry. Based on GF-1 images, an object-oriented classification for coastline was created to monitor coastline exploitation ...
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A Novel Technique for Weed Detection using Textural Similarities
... object-oriented classification system with segmentation and decision tree algorithms was utilized on the hyper spectral images to extract shape and texture features of eight species of plant leaves, and ...
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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... object classification and error balancing was discussed in ...object-oriented Classification for high resolution satellite imagery, a scene of ...object-oriented classification is ...
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Land Use and Land Cover Change Detection in the Saudi Arabian Desert Cities of Makkah and Al Taif Using Satellite Data
... pixel-based classification and object-oriented classification showed a high percentage in the vegetation ...pixel-based classification and object-oriented classification, while ...
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Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem
... method oriented to convolutional neural networks (CNN) is discussed in order to solve four-class motor imagery classification ...high classification accuracy of 68% for the four- class motor imagery ...
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A Spiking Neuron Based Feature Model for Real Time Object Recognition
... In this present work we have implemented the a hybrid model to perform the detection of some real time pattern. The presented model used the spiking neuron based PCA approach to perform the real time pattern detection ...
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1. Image super resolution using sparse neighbor embedding and clustering algorithm
... Abstract : This paper presents a new approach to image super resolution, based upon Sparse Neighbor Embedding and clustering algorithm .Consider a low resolution image as input. Then do LR patch separation, followed by ...
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Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification
... adding oriented standard deviation information to an ALBP descriptor in order to achieve a more complete representation of the images, and hence, it has been called adaptive local binary pattern with ...
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Using Reinforcement Learning for Dialogue Act Classification in Task oriented Conversation Systems
... Reinforcement Learning(RL) is a framework of machine learning which teaches the model how to make decisions in specific circumstances through rewards from iterative trials and errors. It has been proved that RL has ...
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Classification for Object-Oriented Cohesion Metrics
... In object-oriented software, classes replace modules with methods and attributes as their elements. In this context, cohesion is the degree to which the methods and attributes of a class belong together. Again, ...
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The theory of classification part 8: classification and inheritance
... of classification and inheritance. Classification describes the way in which exact types belong to classes and the way in which classes are nested inside one ...
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North American Oriented Strand Board Markets, Arbitrage Activity, and Market Price Dynamics: A Smooth Transition Approach
... and possibly regional OSB price relationships. These include, for example, new capacity that came on–line in 1996-1997 in Canada and in 2006–2007 in the Southeast. As well, an alleged price–fixing scheme among many ...
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Defect Prediction for Object Oriented Software using Support Vector based Fuzzy Classification Model
... The objective of this research is to build an efficient Fuzzy inference system that can learn and predict bugs in software products. Here, we have applied SVM, a supervised training algorithm for classification of ...
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A STUDY OF OBJECT ORIENTED ANALYSIS AND DESIGN
... Then the classes are looked up in library of existing object-oriented classes before they are built. If a class cannot be found in the library of existing classes, then through inheritance or polymorphism of ...
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