توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Linear Feature Extraction Using Fuzzy Logic From High Resolution Satellite Imagery
اطلاعات انتشار: ششمین کنفرانس بین المللی مهندسی عمران، سال
تعداد صفحات: ۸
Obtaining information related to mapping is a common challenge for all world governments. Maps are used by military (strategic), security departments (police, health services, etc), construction industries (electricity, phone, gas and other networks) as well as by ordinary people (road, sport, etc). Unfortunately operators training to reach the ability to extract features for official mapping range from 5 to 10 years.So there is a need to extract features automatically from images and there are many researchers who are working on this subject and there are different methods such as fusion, mathematical morphology, dynamic programming, snake model, and KALMAN filtering. I have used Fuzzy logic and mathematical morphology to extract linear features just like roads. The strength of the fuzzy method is its simplicity and has high flexibility for easily inserting new bands or removing bands without disturbing the remaining parts of the classifier. Another advantage of this fuzzy classification method is its ease in introducing on artificial neural networks. In mathematical morphology, we have used advanced morphological algorithms and it has promising results<\div>

۲AUTOMATIC ROAD EXTRACTION FROM IKONOS PAN–SHARPENED IMAGES USING MATHEMATICAL MORPHOLOGY
اطلاعات انتشار: همایش ژئوماتیک 82، سال
تعداد صفحات: ۸
Nowadays, obtaining and interpreting data is a common challenge for development purposes like in geologic applications, vegetation applications, urban and land use applications, exploration of extraterrestrial bodies, oceanographic and hydrologic applications, and agriculture applications. Remote Sensing (RS) is the leading science providing the data for this goal. The ultimate goal of RS is extracting radiometric and spatial features from images. But it takes about five to ten years to train reliable operators capable of extracting those features from satellite imageries. Therefore automatic extraction of geospatial phenomena is subject of extensive research for the past decade. The subject is quite young and major approaches are not mature. Feature extraction major methodologies are fusion–based approach (Pigeon etal., 1999), fuzzy–based approach (Agouris etal., 1999), mathematical morphology (Zhang, 1998), model–based approach (Buckner, 1998), dynamic programming (Gruen etal., 1995) and multi–scale grouping and context (Mayer etal., 1997). The most prominent linear topographic features are roads, rivers, railways and vegetation boundaries. Roads are important large–network man–made structures. The goal of this research is automatic extraction of roads from pan–sharpened IKONOS images (Using MATLAB software). Here an approach based on mathematical morphology is introduced. In this approach, advanced morphology concepts like ‘trivial opening’, ‘granulometry’ and ‘skeleton’ are used. Small objects and narrow paths and noises are removed. Shadows of trees and buildings that cause in partially covered roads are recovered. This method is successfully performed on a Pan–sharpened IKONOS image from rural region located in KISH Island and extracted road centerline is very promising and precise especially in conjunctions or curved parts. The extracted road centerline can be easily inserted in a Geospatial Information System.<\div>

۳Vivaldi Antenna for Phased Array Systems
نویسنده(ها): ، ،
اطلاعات انتشار: یازدهمین کنفرانس مهندسی برق، سال
تعداد صفحات: ۸
This paper demonstrates the use of Finite Difference Time Domain (FDTD) in design and analysis of finite Vivaldi broadband arrays. Geometical parameters of antenna is calculated for use in broadband phase array systems. Here, a single Vivaldi antenna is analyzed over a wide range of frequency (6–18 GHz) and compared with measurements. Theorical and experimental results show good agreement with each other. Then arrays composed of 4, 8, 12 and 16 elements linearly polarized (12–18GHZ) have been analyzed to achive the patterns with desired beamwidths.<\div>

۴Road Tracking from High Resolution Satellite Images Using a New Set of Profiles and Bayesian Filtering
اطلاعات انتشار: نوزدهمین کنفرانس مهندسی برق ایران، سال
تعداد صفحات: ۵
In This paper, a new semi–automatic method for road extraction in urban or non–urban areas is presented to produce a geographical map and updating it. We have tried to develop a new method for road tracking based on road features in high resolution images. To do so, inspiring from profile matching that is usually used for road tracking; we have defined a new set of profiles. This set was able to detect roads in different places such as urban or semi–urban areas. These profiles should have some distinct characteristics to follow the correct path which are thoroughly investigated here. Our proposed method is considered as a semi–automatic method, which the start point is fed to system by the human operator. Moreover, Bayesian filters such as extended Kalman filter and particle filter is added to system to increase its reliability<\div>
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