مزایای فناوری‌های سخت افزاری و تشخیص الگو، همراه با کاربردهای وسیع ماهواره‌های سنجش از دور سبب توسعه سامانه‌های شناسایی خودکار هدف شده است. به‌ویژه شناسایی خودکار فرودگاه‌ها، به دلیل اهمیت ویژه این اهداف، اساسا امری ضروری است. در این تحقیق، روشی جهت تشخیص و استخراج خودکار فرودگاه‌ها در تک تصویر رادار روزنه مجازی (SAR) پیشنهاد شده است. برای این منظور از تصاویر هواپیمای بدون سرنشین SAR (UAVSAR) استفاده شده است. به‌طورکلی، روش پیشنهادی ترکیبی از تبدیل هاف، جهت شناسایی باندهای فرودگاه، و یک مرحله طبقه‌بندی شیء مبنا، جهت استخراج نواحی فرودگاه، را شامل می‌شود. نتایج این تحقیق، عملکرد و کارایی موثر روش پیشنهادی را جهت شناسایی و استخراج خودکار فرودگاه اثبات کرد. همچنین نشان داده می شود که قطبش های co-polarized (HH و VV) عملکرد بهتری را نسبت به قطبش‌های cross-polarized (HV یا VH) در شناسایی و استخراج نواحی فرودگاه دارند.
P. Han, L. Chang, Q. Shi, and J. Qu, "Runways detection based on scattering similarity and structural characteristics," in Integrated Communication, Navigation, and Surveillance Conference (ICNS), 2015, 2015, pp. H2-1-H2-8##
W. Wei, L. Li, H. Canbin, J. Yongmei, and K. Gangyao, "Airport detection in SAR image based on perceptual organization," in Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), 2011 International Workshop on, 2011, pp. 1-5##
S. Zhang, Y. Lin, X. Zhang, and Y. Chen" ,Airport automatic detection in large space-borne SAR imagery," Systems Engineering and Electronics, Journal of, vol. 21, pp. 390-396, 2010##
B.-C. Jiang and Y.-Y. Chen, "Airport extraction of SAR image based on knowledge," Jisuanji Gongcheng/ Computer Engineering, vol. 33, pp. 29-30, 2007##
R. A. Hevenor and P.-F. Chen, "Automated Extraction of Airport Runway Patterns from Radar Imagery," DTIC Document1990##
S. Yang, L. Lu, and Z. Du, "Automatic Recognition of Airport Runways in SAR Images," Journal of Wuhan University of Technology (Transportation Science & Engineering), vol. 30, pp. 56-59, 2006##
J. C. Z. X. J. Kefeng and K. Gangyao, "Extraction of Runways in Complex Synthetic Aperture Radar Images [J]," Signal Processing, vol. 3, p. 013 .7002##
W. Xiong, J. Zhong, and Y. Zhou, "Automatic recognition of airfield runways based on Radon transform and hypothesis testing in SAR images," in Millimeter Waves (GSMM), 2012 5th Global Symposium on, 2012, pp. 462-465.[9] N. Aggarwal and W. C. Karl, "Line detection in images through regularized Hough transform," Image Processing, IEEE Transactions on, vol. 15, pp. 582-591, 2006##
Y.-c. LIN, Y.-c. XIE, and Q.-h. LIU, "A New Straight Line Segment Extraction Method Based on Hough Transform [J] ",Nanotechnology and Precision Engineering, vol. 5, p. 010, 2009##
Y. CHEN and Y. SHAO, "A Radon Transform-Based Algorithm for the Detection and Matching of Airport Objects," Journal of Tongji University (Natural Science), vol. 6, p. 004, 2006##
B .DENG, Y. GAO, B. YANG, and L. WU, "A New Algorithm for Linear Features Extraction and Orientation," Computer Engineering, vol. 13, p. 070, 2006##
D.-f. PAN and B. WANG, "Line Extraction Based on Edge Direction," Transactions of Beijing Institute of Technology, vol. 6, p. 010, 2008##
P. Melin, O. Mendoza, and O. Castillo, "An improved method for edge detection based on interval type-2 fuzzy logic," Expert Systems with Applications, vol. 37, pp. 8527-8535, 2010##
J. F. Canny, "Finding Edges and Lines in Images," DTIC Document1983##
A. A. Alshennawy and A. A. Aly, "Edge detection in digital images using fuzzy logic technique," World Academy of science, engineering and technology, vol. 51, pp. 178-186, 2009##
P. V. Hough, "Method and means for recognizing complex patterns," US Patent 3,069,654,1962##
W. K. Pratt, "Digital Image Processing, New-York," NY: John Wiley and Sons, 1991##
N. Otsu, "A threshold selection method from gray-level histograms," Automatica, vol. 11, pp. 23-27, 1975##
K. Fukunaga, Introduction to statistical pattern recognition: Academic press, 2013##
)
