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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...
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...
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 ...
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...
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...
Image matching is an important task in digital photogrammetry. In the paper, an approach to remote sensing image matching combining genetic algorithm(GA) with least square matching(LSM) is presented t...
In the most applications in remote sensing, there is no need to use all of available data, such as using all of bands in hyperspectral images. In this paper, a new band selection method was proposed t...
The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification...

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