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In realistic network analysis, there are several uncertainties in the measurements and computation of the arcs and vertices. These uncertainties should also be considered in realizing the shortest pat...
With the rapid development of RS and more mature and the precision of number of field surveys on the basis of Quick-Bird remote sensing data through visual interpretation of urban public greenvegetati...
Taking Jiading district of Shanghai as the study area, which is one of the most typical urbanization fringe regions in Shanghai during the past decades, the urban sprawl in this region from 1989 to 20...
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
In this paper, we analyze synthetic aperture radar (SAR) interferograms derived from Envisat radar data. Use of interferograms from both ascending and descending satellite passes enables usto indicate...
This paper proposes a novel morphology algorithm for target detection of the infrared images, which is optimized by the genetic al gorithm. First, several improvements have been adopted for genetic al...
The water scarcity crises in the world and specifically in Iran, requires the proper management of this valuable resource. According to the official reports, around 90 percent of the water in Iran is ...
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...
Traditionally, an unsupervised classification divides all pixels within an image into a corresponding class pixel by pixel; the number of clusters usually needs to be fixed a priori by a human analyst...
Traditionally, an unsupervised classification divides all pixels within an image into a corresponding class pixel by pixel; the number of clusters usually needs to be fixed a priori by a human analyst...
The improved spectral resolution of modern hyperspectral sensors provides effective means for discrimination of subtly different classes and objects. However, in order to obtain statistically reliabl...
The key step in object-oriented image classification is the segmentation of the image into discrete meaningful objects. Generally the relation between the segmentation parameters and the corresponding...
This paper puts forward a method that combines the learning algorithm of BP neural network with genetic algorithm to train BP network and optimize the weight values of the network in a global scale. T...
2D GEOMETRIC CORRECTION OF IKONOS IMAGERY USING GENETIC ALGORITHM.
This paper introduces the principle of genetic algorithm and the basic method of solving Markov Random Field parameters. Focusing on the shortcoming in present methods, a new method based on genetic a...

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