Building detection by local region features in SAR images

Компьютерная оптика

C.X. Chen¹  S.P. Ye²  A. Nedzved²  J. Jiang³ 

[1] School of Earth Sciences, Zhejiang University, Zhejiang, China;College of Information Science and Technology, Zhejiang Shuren University, Zhejiang, China;Department of Computer Applications and Systems, Belarusian State University, Minsk, Belarus;

关键词: sar images;    building detection;    yolo network;   

DOI  :  10.18287/2412-6179-CO-703

来源: DOAJ

【 摘 要 】

The buildings are very complex for detection on SAR images, where the basic features of those are shadows. There are many different representations for SAR shadow. As result it is no possible to use convolutional neural network for building detection directly. In this article we give property analysis of SAR shadows of different type buildings. After that, each region (ROI) prepared for training of building detection is corrected with its own SAR shadow properties. Reconstructions of ROI will be put in a modified YOLO network for building detection with better quality result.

【 授权许可】

Unknown