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Register a new userBuilding Detection in the Satellite Image using Rectangle Hough Transform
تحديد المباني في الصور الفضائية باستخدام تحويل هاف المستطيل
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قمنا ببحثنا هذا بإجراء دراسة مرجعية للطرائق المختلفة المتبعة للتحديد الآلي المباني في الصور الفضائية و تحليلها و عرضنا منهجية مقترحة لتحديد المباني اعتماداً على خصائص محيطها الهندسية باستخدام تحويل هاف لتحديد النماذج المستطيلة في الصور الرقمية.
In our research we studied and analyzed the different types of methods used for automatic building detection from the satellite images, then, we proposed a general methodology for building detection based on its geometrical boundary features using Hough transform for the rectangular forms.
References used
H. Q. Guo, “Geospatial framework of digital city construction projects 3D city model for building technology,” Surveying and Mapping, 2013, 4, pp. 86-88
S. Zhou, “Target detection and localization algorithm based on image gradient and curvature information constraints research,” Yanshan University, 2013, 15-16
C. L. Li, Y. B. Guo and C. Li, “The High accurate Extraction of Line Features of Object Contour,” IEEE Transactionon Acta Geodaetica et Carto graphica Sinica,Vol.40, NO.1, pp.67-83, Feb.2011
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The importance of this modern technology (remote sensing) follows from the fact that it allows estimating the wood stock by knowing the value of the NDVI index, which reduces the high cost and great effort needed by traditional forestry measurements.
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SST satellite images analysis has provided us a new description of the surface
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important biological reflection at the marine environment. We have analyzed images for
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nutrient observations.
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