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Register a new userBuildings detection in Satellite images
كشف الأبنية في صور الأقمار الصناعية
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نقدم في هذا البحث خوارزمية جديدة لأتمتة عملية كشف و استخراج الأبنية من صور الأقمار الصناعية, و تتميز هذه الخوارزمية عن غيرها كونها تتغلب على بعض المعوقات التي شكلت محدودية في الكشف ضمن طرق و خوارزميات أخرى مثل الاختلاف في شكل و لون و ارتفاع الأبنية, و عدم الحاجة لصور متعددة الطيف أو غيرها من البيانات المعقدة أو ذات الكلفة العالية.
In this paper, we present a new algorithm to automate the detection and extraction of buildings from satellite images, this algorithm is distinguished since it overcomes some obstacles that limit detecting within other methods, such as the difference in shape, color, and height of buildings, and it doesn't need multi-spectral images or other complex and high cost images.
References used
LIN-Cand NEVATIA-R ,1998, “Building detection and description from a single intensity image,” Computer. Vis. Image Understand, vol. 72, no. 2, pp. 101–121
INGLADA-J, 2007, “Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features,” ISPRS Remote Sens., vol. 62, no. 3, pp. 236–248
TURKER-M.,2014 , “Support vector machines classification for finding building patches from IKONOS imagery: the effect of additional bands,” Journal of Applied Remote Sensing, Vol. 8, No1
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