7982

7417

كارشناسي ارشد

مخابرات

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1391

نه،104ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

محمود مدرس هاشمي

7/7/92

ابوالقاسم زيد آبادي نژاد، مجتبي بهشتي

مهندسي برق و كامپيوتر

ID7417

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

112 48 Zamparelli V Perna S Fornaro G An improved topography and aperture dependent motion compensation algorithm IEEE International conference on Geoscience and Remote Sensing Symposium pp 5805 5808 2012 49 Yang H Yuan Y Wu J Huang Y Yang J NUFFT applied to motion compensation in the Near Space SAR imaging IEEE International conference on Geoscience and Remote Sensing Symposium IGARSS pp 3883 3886 2012 50 Wang R Luo Y Deng Y Zhang Z Liu Y Motion Compensation for High Resolution Automobile FMCW SAR IEEE Transactions on Geoscience and Remote Sensing Vol pp pp 1 5 early access 51 Yan lei L Xing dong L Chi biao D Liang jiang Z Long yong C Wen H A motion compensation approach integrated in the omega K algorithm for airborne SAR IEEE International Conference on Imaging Systems and Techniques pp 245 248 2012 52 Matthew S Synthetic Aperature Radar Imaging Simulated in Matlab Msc thesis University of California Polytechnic state university 2009 A Study of Motion Compensation in Synthetic Aperature Radar SAR images Majid Hajipour m hajipour@ec iut ac ir Date of Submission 2013 03 16 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor seyyed mahmoud modarres hashemi modarres@cc iut ac ir Abstract Remote sensing and imaging of the surface is possible by using different parts of the electromagnetic spectrum Using microwave in Synthetic Aperture Radar SAR has many benefits such as the ability to work in all weather conditions take advantage of the day and night and to obtain high resolution images even at high ranges These advantages have led to many civilian and military applications for this radar In synthetic aperture radar the received signals which are called raw data can be considered as a two dimensional function of the range and azimuth In this data the energy of a point target is distributed in both direction and so the information can not be extracted without a proper processing Therefore it needs to be processed by a focusing algorithm which is called image formation algorithm Image formationPDF created with pdfFactory trial version www pdffactory com

محمود مدرس هاشمي

ابوالقاسم زيد آبادي نژاد، مجتبي بهشتي