1 2008-9635 kntu 289 Development of a GIS-based model for Locating Urban Neighbourhood and District Centres based on Mixed Land Use Concepts Movahedi Sobhan b Taleai Mohammad c Karimi Mohammad d b K.N.Toosi University of Technology c K.N.Toosi University of Technology d K.N.Toosi University of Technology 1 12 2015 3 3 1 20 12 06 2016 12 06 2016 In separation-based land use (zoning) theory, due to the contrasting nature of different land use categories to each other, a separation among residential areas and other land uses were assumed. During recent decades and after revealing negative effects of zoning, new urbanism approaches based on mixed land use development and revival of urban district and neighbourhood centres have been proposed. The aim of this research is locating and ranking urban district and neighbourhood centres based on examination of mixed land use index in GIS environment. In this article, a GIS-based model is developed through measurement of five spatial indices. In order to‏ evaluate the efficiency of the proposed model, it was applied in the seventh region of Tehran with its five neighbourhoods. Evaluation of the results was demonstrated the appropriate performance of the model in detecting network nodes which have good potential as district or neighbourhood centres in the study area. These results have good reliability with the comprehensive plan of the case study.
290 Using Intermediate Spectrum for mineral target detection of Hyperion Images (study area: Gonabad) Rahmani Siavash e Maghsoudi Yasser f Dehnavi Sahar g e K.N.Toosi University of Technology f K.N.Toosi University of Technology g K.N.Toosi University of Technology 1 12 2015 3 3 21 38 12 06 2016 12 06 2016 Mineral target detection using the spaceborne hyperspectral images do not leads to accurate results because of the low spatial resolution. Therefore it might be better to use images with much more spatial resolutions in order to achieve good results. However, although airborne hyperspectral images have moderately good spatial resolutions but they are too much costly. Consequently it would be great if we could find a solution for the mentioned problem in low cost satellite images (such as Hyperion). In this study, a process was proposed to apply an intermediate spectrum from Hymap airborne image, to detect some minerals in the spaceborne Hyperion image. The study was conducted in east Iran and it was carried out on four mineral targets including: Kaolinite, Alunite, Epidote and Hematite. Experimental results indicate that the performance was better in intermediate spectrum for entire minerals, by 4.47, 11.38, 4.32 and 10.28 percent respectively in Alunite, Kaolinite, Epidote and Hematite.   291 Three dimensional Lagrangian strain analysis using GPS time series without regularization (Case study: Washington) Tode Zaeem Yashar h Nafisi Vahab i Amiri Simkooii Alireza j h University of Isfahan i University of Isfahan j University of Isfahan 1 12 2015 3 3 39 52 12 06 2016 12 06 2016 Earth deformation is a three-dimensional phenomenon; therefore crust analysis also must be done in three-dimension. Analysis of deformation using two epochs can be replaced by analysis of time series, which is more effective for modeling of geodynamics phenomena. GPS permanent stations provide such observations. At the first part of this study, time series of 19 GPS permanent stations in Washington region have been used. With simultaneous analysis of common observations, displacements in three directions were obtained. According to the obtained results, estimation accuracy of horizontal displacements is nearly 3.5 times better than estimation accuracy of vertical displacements. In the next section, Lagrangian method has been used to analyze the deformation. Generally, by generalization of the mathematical model of this method, from two-dimensional to three-dimensional, there is a possibility of problem’s instability. The results of this study show that generalized three-dimensional model necessarily does not lead to instability of the problem. It seems that position of points relative to each other and topography of the region are more important elements which can make coefficients matrix ill-conditioned. As an important point, we can mention that deformation pattern obtained using two-dimensional and three-dimensional analysis are consistence. This consistency can be obviously found in most stations. But in terms of values, we can find serious differences between horizontal main values of strain tensors and compression values even up to two decimals. These differences may come from ignoring vertical component in analysis of two-dimensional deformation.   292 An improvement in SIFT Algorithm for Wide-Baseline Image Matching Hasheminasab Seyed Meghdad k Ebadi Hamid l Hoseininave Ahmadabadian Ali m Sedaghat Amin n k K.N.Toosi University of Technology l K.N.Toosi University of Technology m K.N.Toosi University of Technology n K.N.Toosi University of Technology 1 12 2015 3 3 53 74 12 06 2016 12 06 2016 Image matching is known as a vital process in digital photogrammetry. Despite development of many image matching algorithms, this process still has some difficulties in close range photogrammetry, due to geometric changes which are made by changes in viewpoint. In this paper, an effective and robust image matching approach is presented for wide-baseline image matching. In the proposed method, in order to perform matching operation, after extracting blob-like features in base and input image, using SIFT detector, an elliptical region is constructed for each feature . In the following, in order to control the created geometric changes resulted from changes in the imaging perspective, parameters of this ellipse are calculated by using second moment matrix. In addition, descriptor for each feature is constructed by normalization of the respective ellipse to a circular region with a constant radius. Finally, by applying nearest neighbor method, matching process is done and mismatches are eliminated by implementing epipolar constraint based on RANSAC method. Test results on different close range image datasets, beside the increased accuracy rate of 3 to 8 percent, represents significant function of the proposed method since the results are two times higher than the results finalized using the standard SIFT method. 293 A New Approach for Allocating Dynamic Resources on Road Network by Applying Spatiotemporal Clustering of Events Goodarzi Mohsen o Hakimpour Farshad p Pahlavani Parham Hajimirrahimi Seyed Mahmood o University of Tehran p University of Tehran University of Tehran Tabriz University 1 12 2015 3 3 75 93 12 06 2016 12 06 2016 A location-Allocation problem consists of two parts: locating resources and allocating them due to demands. Urban managers in order to plan metropolises, utilize various methods like districting urban regions, which is the result of solving a LA problem. Changing in urban districts, originates from dynamism rate of demands. Some efforts have been conducted to relate clustering to LA. Most of these researches apply clustering as a tool in locating resources whereas facing with dynamic demands is diminishing the importance of locating rather than allocating part. In this article the proposed method suggested dynamic location for resources in order to allocating them to the plea. The advantage of proposed method, which is a combination of statistical local K-function and non-statistical hierarchical clustering methods, lies in division of urban region into correlated and non-correlated parts. In order to deploy local K-function, Monte Carlo simulation has been applied. The Correlated and non-correlated parts are being constituted by local k-function in wide-extend; in continue they should shrink using hierarchical method. The small clusters should meet two conditions: 1) consuming accident experts’ capacity as much as possible 2) not overrunning duration of reaching accident experts to collision places from a standard quantity. Evaluations show a considerable efficiency in weekdays except midnight hours. However, deploying just hierarchical method on weekends and midnight hours leads to better efficiency and also reduction in number of accident experts 294 Surface Temperature and Emissivity estimation and isothermal area detection during crop growth stages Rezaei Yousef Najafi Zahra Akhavan Samira Bu-Ali Sina University Bu-Ali Sina University Bu-Ali Sina University 1 12 2015 3 3 95 110 12 06 2016 12 06 2016 Today, the extraction of land surface temperature (LST) from satellite imagery for many environmental studies, particularly the applications related to water resources management over agricultural sites, is very important. The extracted LST can be used to check the status of plant growth and crop water demand management. Recently the OLI and TIR data sets from Landsat 8 were used in vegetation studies and surface temperature estimation. In this research, the variations of corn surface temperature during its growth stages were examined. In order to minimize the soil influence on canopy spectra, the SAVI were used. The emissivity was estimated by using thresholding on NDVI and vegetation fraction cover and surface temperature were assessed by using single channel algorithm. After that isothermal areas were detected using SAVI and thermal image. Finally, corn growth conditions were studied by examining surface temperature in growth stages. The comparison of results with ground data, show the average correlation efficiency more than 0.92 and average RMSE less than 1.5.