计算机视觉
目标检测
人工智能
计算机科学
图像分辨率
合成孔径雷达
对象(语法)
对象类检测
遥感
投影(关系代数)
特征提取
模式识别(心理学)
地理
人脸检测
算法
面部识别系统
作者
Qi Li,Ye Zhang,Hao Chen,Guangjiao Zhou
标识
DOI:10.1109/igarss.2018.8517543
摘要
With the rapid development of sensor technology, we pay more attention to object detection for high-resolution SAR images. Besides, the traditional object detection methods which only use one SAR image to accomplish detection aren't enough appreciate for some cases that the background around the object is complex. In the paper, we propose an object detection method for high-resolution SAR images under the spatial constraints of optical images. It consists of three main steps: Establishment of the spatial relation between optical and SAR images, spatial constraints projection from optical images and detection under the spatial constraints in high-resolution SAR images. At the end of the paper, we take the inshore ship detection as an example to show that the proposed method can greatly improve the accuracy and efficiency of object detection against the traditional SAR object detection methods in conditions that background around the object is complex.
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