2024-03-29T14:54:20+03:30 http://jgit.kntu.ac.ir/browse.php?mag_id=21&slc_lang=fa&sid=1
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 The Proposed Algorithm for Modelling of Ancient Monuments and Cultural Heritage by using of Hyperspectral Images Data and Digital Terrestrial Photogrammetry Seyed Yousef Sajjadi sajjadi@tafreshu.ac.ir Geographical Information System (GIS) represent a highly relevant branch of information technology. GIS support the geospatial data import from a variety of sources, including imagery. An appropriate environment for providing the spatial information needed by architects working with historic buildings and archaeologists might be soft-copy photogrammetry coupled with, or linked to, GIS, forming an Archaeological/Architectural Information System (A/AIS). A reason for this relativity is simplicity of digital photogrammetry procedures, widespread knowledge and understanding of certain off-the-shelf GIS packages and the scarcity of personnel and equipment capable of performing hard-copy photogrammetric tasks. 3D Modelling Photography Digital Photogrammetry GIS AutoCAD A/AIS 2018 3 01 1 21 http://jgit.kntu.ac.ir/article-1-540-en.pdf 10.29252/jgit.5.4.1
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 Compensating surveillance camera movements using sequential image registration for car detection Ali Karami ali.karami.surveying@gmail.com Mohsen Seriani Masoud Varshosaz Recognizing and detecting cars in videos is ones of the main issues in computer visions. The main assumption of surveillance cameras is that the camera is fixed while taking videos. Any movements  due to wind or external forces causes frequent vibrations in the camera and shift of image pixels. This makes conventional methods to detect static objects as moving ones mistakenly. The main aim of this research is to register sequential frames with background image to remove the noise and the mentioned problem. The algorithm first extracts sequential frames and background image using median method, and then registers all frames with the background image. Cars are detected by subtracting background image from frames. Three data were used to evaluate the capability of the proposed methods. Each data set has different car density and contain frequent vibrations while recording the videos. To evaluate the proposed method, FAR, MODP, HR and error percentage criteria were calculated with and without registration. The overall accuracies were 89% and 76% respectively which shows the 13% improvement in the accuracy of detecting cars with registration technique. registration object recognition and detection matching moving objects feature extraction 2018 3 01 23 40 http://jgit.kntu.ac.ir/article-1-541-en.pdf 10.29252/jgit.5.4.23
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 An Airport Decision Support System for Real Time Allocation of Service Cars Abouzar Ramezani Mohammad Reza Malek mrmalek@kntu.ac.ir Improve the safety of the service needs total integrated management of the airport, which due to independency of management in various sectors of activity is relatively difficult. Yet, continuance of this process, can affect all operations of an airport alone. Increasing flights in the airports lead to traffic jam of service cars results in an increase in the airport's accidents. In time of crisis in the airport, because of the lack of information on the overall situation, the decision making process will become a serious problem for managers. Hence, the safety of vehicles within the directory service turn into a rising challenge. In this study, a decision support system to provide a solution for dedicated service to aircraft carriers, enabling them to provide optimal allocation. Using this solution in times of crisis enable managers and service providers to use Geographic Information System which will be assigned to aircraft. The developed model in this study, after receiving the aircraft and service cars position, will announce that which aircraft and the service path should be served first. The implementation of proposed model at Imam Khomeini International Airport results show 36 seconds reduction of flight delays related to the real time of flight. If the proposed model be applied in several flight, it will show a better performance and a greater reduction in the total time of flight delays. Applying this model leads to increase of the power of decision-making and as a result can reduce the crisis in the airports. SDSS Mobile GIS Airport Allocation 2018 3 01 41 51 http://jgit.kntu.ac.ir/article-1-542-en.pdf 10.29252/jgit.5.4.41
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 Accuracy Improvement of Fringe Projection 3D Scanner Using Photometric Stereo Method Ali Abzal ali.abzal@ut.ac.ir Mohammad Saadat Seresht Fringe projection (FP) technique uses a fringe pattern in a determined direction to measure the three-dimensional shape of the object. This paper surveys the effects of the object surface geometry on the accuracy of the three-dimensional reconstruction. Inter-reflection in concave areas, a significant change of phase in step edges, and lower signal to noise ratio in slope areas are the object geometry effects on the phase retrieval process. We proposed an FP technique that uses a photometric stereo to classify the image pixels based on the geometric properties of the object surface for selection of appropriate pattern direction. Experiments demonstrate that our low-cost integrated system can improve the measurement’s accuracy of the objects with complex geometry from 58 microns to 28 microns. Fringe Projection Photometric Stereo Inter reflection erreor Geometry 2018 3 01 53 65 http://jgit.kntu.ac.ir/article-1-543-en.pdf 10.29252/jgit.5.4.53
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 An Agent-based Pedestrian Evacuation Modeling from a Rectangular Room Using Cellular Automata and Fuzzy Inference System Seyed Mohammad Homayooni Parham Pahlevani pahlavani@ut.ac.ir In this paper, a model has been proposed for simulating the evacuation process from a rectangular room with one exit by changing the rush and the agents’ velocity, as well as changing the width of the exit and the dimensions of the room and the achieved results were compared to those of similar former researches. For a dynamic simulation in the study area, the study space was changed to be discrete and the cellular automata was used. To calculate the tendency of every agent for moving to its surrounding cells, several evacuation parameters were considered. The effective evacuation parameters of this study are the distance from exit, the distance of the agents from each other, the angle between the agent’s chosen path and the straight path toward exit, and the agent’s rush. Each of these parameters enters into a fuzzy inference system. The outputs of these systems are the tendency of the agent to move into that cell based on the considered parameter. Hence, there would be one tendency per parameter. Finally, for each cell, these values were combined based on their weights and accordingly, there would be one tendency for each surrounding cell of the agent. To obtain the results, at first, the weights of the distance from exit, as well as the angle between the agent’s chosen path and the straight path toward exit were changed and the results were discussed. Then, the rush of the agents were changed and the results were shown. Moreover, in this paper, the results of changing the exit’s width were discussed and compared with those reported by the similar practical research. Finally, by changing the dimensions of the room, our results were compared to those of the former similar research and consequently, the optimum conditions for the evacuation process have been proposed. In the situation that the agents were in medium rush and the agents were evacuating from a place of 4×9 m2, i.e., similar to the practical research done by Kretz, our results were 94.54% in line with the real evacuation data results.   Evacuation Rectangular Room Agent-based Model Cellular Automaton Fuzzy Inference System 2018 3 01 67 91 http://jgit.kntu.ac.ir/article-1-544-en.pdf 10.29252/jgit.5.4.67
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 Modeling and Prediction of Horizontal Urban Growth of Mashhad study region by Aggregating Cellular Automata, Fuzzy Theory, Neural Network and Logistic Regression Farshad Rostami Galeh Marjan Ghaemi Rozbeh Shad R.shad@um.ac.ir Yasaman Lohrabi In this paper, we try to present a simple and powerful model to forecast the urban growth of Mashhad city applying a developed Cellular Automata (CA) algorithm in Geo-spatial information System (GIS). In spite of different CA's advantages in urban growth modeling, this model faces several limitations such as inability to model the uncertainties of urban systems and working based on experimental calibration (trial and error) techniques. In the proposed method, to overcome the uncertainty problem and increase the model efficiency, the fuzzy transition rules are introduced in the modeling process. Moreover, the effective criteria are weighted using the logistic regression algorithm to remove the second restriction and then the calibration process will be applied. Therefore, the prediction process of urban growth were implemented using a suggested simple and powerful model by aggregating different methods in a logical framework. For this purpose, Landsat 8 and ETM+ satellite images (between 2002-2015) were entered into the modeling process and the horizontal urban growth of Mashhad study area were predicted for 2028. The final obtained results showed that the proposed method with the Kappa coefficient of 54.8 and the overall accuracy of 92% is more accurate than conventional CA techniques. Fuzzy cellular automaton anticipating GIS logistic regression multilayer perception artificial neural network 2018 3 01 93 111 http://jgit.kntu.ac.ir/article-1-545-en.pdf 10.29252/jgit.5.4.93
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 Evaluation of OLI Sensor Data, The Capabilities of ALTA ReflectanceSpectrometerand Using The Concept of Virtual StationsMapping The Distribution of Heavy Metals in Soil Fateme Goltappeh goltappeh_fa@yahoo.com Parviz Zeaiean Firouzabadi Hamid Reza Riyahi Bakhtyari The use of remote sensing and GIS technology, is to have a quick and inexpensive method of obtaining information, especially in the field of environmental studies and earth sciences for optimal management. This study was carried out to evaluate OLI sensor data, the capability of Alta reflectance spectrometer in the selected spectral band satellite images for predictive models and the use of concept of station virtual changing the accuracy of the models and mapping the distribution of the concentration of heavy metals nickel, lead and zinc the surface soil around the Rajaee Power Plant. After determining the location of sampling stations on satellite images, according to the dominant land use around power plants (agriculture) and with respect to the different soil depth in this kind of usage,from the average depth of about 0-15 cm topsoil , 34 composite samples were collected and spectral readings were recorded using Alta reflectance spectrometer. The heavy metals concentrattion was determined in the laboratory using atomic spectrometer. According to the equivalent range of spectral bands of satellite imagery and spectral range light colored Alta reflectance spectrometer, was used for spectral data recorded by reflectance spectrometer to select the optimal band satellite imagery to participate the relationship between spectral data (independent variable) and the concentration of heavy metals in the soil (the dependent variable).The concept of virtual stations which are characteristics like spectral reflectance sampling stations are used to enhance the accuracy of the models. For this purpose, the OLI images, Landsat 8 satellite images, in the   range of values of the pixels in all the bands (6 bands in the visible and infrared range), amounting 4450 virtual station was found in the area around the power plant. At the end using satellite image bands and finding the relationships between larger coefficient of determination (R^2), the distribution map of soil concentrations of heavy metals has been found with moderate accuracy. Validation of the models with the use of Root Mean Square Error (RMSE) showed the efficiency of use of the concept of virtual stations to increase the accuracy of the models; So that was observed in the linear regression, nickel, 17.21%, 20.19% lead and 4.05% zinc and nonlinear regression, nickel, 13.42%, 20.19% lead and 3.10% zinc increased accuracy in prediction models. It is suggested that in future studies data collected from other sensors should be evaluated as well. Other variables also affect the soil environment (humidity, temperature, vegetation, etc.) which should be considered in models. Remote sensing of soil Heavy metals of soil Virtual Station ALTA Reflectance Spectrometer 2018 3 01 113 145 http://jgit.kntu.ac.ir/article-1-547-en.pdf 10.29252/jgit.5.4.113
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Engineering Journal of Geospatial Information Technology jgit 2008-9635 10.61186/jgit 2018 5 4 Scalar Airborne Gravimetry Using Low Pass Filter with Different Windows Ahmad Ghonchi Yazdan Amerian amerian@kntu.ac.ir Mohammad Shakibay Senobari In airborne gravimetry, the integration of Global Positioning System (GPS) and Inertial Navigation System (INS) is used for Earth gravity field recovery. GPS position is noisy and the GPS acceleration which is the second derivate of GPS position will be noisy too and noise amount of GPS acceleration exacerbates due to the computational errors of differentiation process. The INS acceleration also has high amount of noise. Digital low-pass differentiator filter is used to calculate the GPS acceleration from GPS position and reduce the GPS acceleration noise as much as possible. Then digital low-pass filter with different windows have been used to smooth and reduce noise of the GPS and INS acceleration. Gravity is determined by differentiating the smoothed GPS and INS acceleration. Gravity disturbance is computed as the difference of computed gravity and normal gravity. The INS accelerometer and gyroscope errors includes bias, scale factor and random noise affect the accuracy of calculated gravity disturbance. The gravity disturbance value as observations and the error dynamic equations of the INS are applied in a Kalman filter for INS errors estimation. This paper has shown that using low-pass filters with product of Hanning and Blackman window, Blackman window and Kaiser window with appropriate parameter as a smoothing method will be rulted in gravity with the accuracy about 1 mGal which is comparable with B-spline smoothing method which has been applied to this data before. Comparing low-pass filter and B-spline smoothing methods, simplicity and less time consuming can be mentioned as low-pass filter advantages. Also the degree of smoothing can be controlled using filter order. GPS INS Digital Low Pass Filter Smoothing Gravity 2018 3 01 147 169 http://jgit.kntu.ac.ir/article-1-548-en.pdf 10.29252/jgit.5.4.147