Roozbeh Shad; Hamid Ebadi; Mohammad Sa'di Mesgari; Ali Vafaee Nejad
Abstract
Different industrial decision makers and managers in our country, try to select and organize locations for aggregating industrial units, estates and areas with respect to land use planning visions and industrial development strategies. In this regard, considering large quantity of the input data and ...
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Different industrial decision makers and managers in our country, try to select and organize locations for aggregating industrial units, estates and areas with respect to land use planning visions and industrial development strategies. In this regard, considering large quantity of the input data and diverse criteria affecting this application, it is complicated and difficult to optimally make decision. Geographical Information System (GIS) is able to provide the decision-makers with appropriate tools for removing the difficulties and complexities of site selection process. For this purpose, spatial functions allow selecting an optimum site by using input maps through aggregated operators. These functions are categorized into various groups such as Boolean, Index overlay, Fuzzy logic, Genetic and Weighted evidence, with respect to their activities. So, it is essential to determine appropriate aggregated functions for designing and implementing an applied GIS for selecting optimum industrial estate. In this paper, first, conditions and factors influencing industrial estates site selection are determined and made ready for being entered into aggregated functions. Then, different properties of Index overlay, Fuzzy, Genetic and Weighted evidence models are evaluated for functional efficiency and output accuracy results. Finally, considering the results obtained from different stages, the appropriate model is determined and desirable user interface is developed. As a result of implementing, it was found that Index overlay model with 2.2 seconds time ratio and 5 positive efficiency is the best model for aggregating industrial estate site selection parameters as compared to Fuzzy, Genetic and Weighted evidence models.
Shirin Malihi; Hamid Ebadi; Farshid Farnoud Ahmadi; Mehdi Maboudi
Abstract
An important issue in implementation of a GIS system is preparation of data to be entered in GIS. To produce spatial data for GIS using photogrammetric techniques, conventional method is to apply photogrammetric and GIS systems individually (off-line procedure).
This approach is costly, time consuming ...
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An important issue in implementation of a GIS system is preparation of data to be entered in GIS. To produce spatial data for GIS using photogrammetric techniques, conventional method is to apply photogrammetric and GIS systems individually (off-line procedure).
This approach is costly, time consuming and somehow unreliable due to the fact that 3D photogrammetric model is not available at the time of GIS data structuring, To overcome these problems, editing and structuring of spatial data can be carried out simultaneously during feature digitization.
Feature digitizing from photogrammetric models can be performed in an interface CAD environment by real time integration of photogrammetric and CAD systems. Based on this approach, generated data can be saved with standard structure and format defined by CAD environments (e.g., Micro Station)and directly used for GIS without further editing. In this paper, design and development of a software package called Object oriented CAD-Based Photogrammetric System (OCBPS2, version 2) which integrates Photomod and Micro Station systems in an object oriented way, is described. This system carries out real time structuring and editing of spatial data for class of road features by controlling logical relations among road class features and other features.
Seyyed Abdollah Kianejad; Hamid Ebadi; Masoud Varshosaz; Barat Mojarradi
Abstract
By far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. However, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable ...
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By far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. However, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable to the same level of success as that of aerial imagery. In order to overcome these shortcomings, in this paper a new hybrid area and feature-based image matching method is proposed. This technique, puts the emphasis on spectral information of color images without the need for prior knowledge about imaging conditions such as overlap and order of images. This method was implemented and tested on real close range images having different convergence angles. The results showed that it succeeds in convergent images with angles about 40-60 degrees giving an accuracy of 2 pixels.