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In this paper, series of experimental studies about the neural network model for whiskbroom remote sensing imagery geometry correction methods based on BPNN (Back-Propagation Neural Networks) and RBFN...
In this paper a novel supervised classification algorithm (AIBN) for remote sensing image classification based on artificial immune B-Cell network is proposed. Even though some effective classifiers h...
The backpropagation artificial neural network (ANN) is a well-known and widely applied mathematical model for remote sensing applications for pattern recognition, approximation and mapping of non-line...
The generalization operation should first make decision of object importance at geographic level, which relates not only to the geometric properties of independent object but also the other context ob...
The study describes the design, installation, testing and use of a pilot permanent GPS stations network in Cyprus, for mapping purposes. In addition, it evaluates its operation in order to produce the...
Mainly task of optimizing design of Industrial Photogrammetric Network with Variant Interior Elements (IPNVIE) is to provide a schema for a set of interior relatively problems in a photographic task....
AN ALGORITHM FOR NETWORK REAL TIME KINEMATIC PROCESSING     RTK  VRS  GNSS  Network RTK  Kriging  Sagnac Effect       font style='font-size:12px;'> 2016/1/15
NRTK1 is an efficient method to achieve precise real time positioning from GNSS measurements. In this paper we attempt to improve NRTK algorithm by introducing a new strategy. In this strategy a preci...
Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. ...
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
This work aims to present an intelligent system for tracking moving targets (such as vehicles, persons etc) based on a network of distributed autonomous units that capture and process images from one ...
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
Road Network Detection by Growing Neuron Gas     neural network  image analysis  self-organization       font style='font-size:12px;'> 2015/12/9
The growing neuron gas (GNG) algorithm is an excellent self-organization tool, which efficiently combines the graph and neural network techniques. The gas formation starts with two connected neurons a...
In Digital Terrain Models (DTM) interpolation is actually a surface fitting problem. For the estimation of heights of points with known X-Y coordinates there are many interpolation methods. Besides, t...
In order to get good precision designer used to consider how to place cameras. Usually, design would refer to multidimensional optimal problem, so people used genetic algorithms to solve it. But genet...
Topology-Preserving Network Snakes     Computer Vision  Active Contour Models  Optimization  Segmentation  Networks  Topology  Roads       font style='font-size:12px;'> 2015/12/4
Active contour models have been part of extensive research since their introduction in the late eighties, because their concept of coupling the image data with shape control is a powerful method to de...

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