摘要
提出了一种卫星遥感影像中机场兴趣区(ROI)检测的方法。该方法采用由上而下的知识驱动策略,以机场知识库为基础,根据遥感影像中机场ROI检测的原则,有针对性地选择和组织影像处理的成熟算法提取影像中的感兴趣特征;并将其与机场知识模型进行多层次的推理和判断,最终确定机场ROI影像位置并输出结果。实验表明,基于知识的机场ROI检测方法在提高检测速度,增强可靠性方面具有一定的优势,并能够有效地降低大幅面遥感影像的处理难度。
A method of airport region of interest（ROI） detection in remote sensing image was proposed.It adopted the top-down knowledge driving strategy.Base on the knowledge database of airport and according to the principle of airport ROI detection in remote sensing image,some interest features in image are extracted by selecting and organizing some mature image process algorithms targetly.Then the airport region is located by multi-hierarchical judging and identifing the features with the knowledge model of airport.The experiments have demonstrated that the method of airport detection have advantages in raising processing speed and strengthen robustness.It can decrease the difficulty of processing large images effectively.
出处
《测绘科学技术学报》
北大核心
2010年第4期280-284,共5页
Journal of Geomatics Science and Technology
关键词
遥感影像
机场兴趣区
检测
知识库
特征提取
推理机制
remote sensing image
airport region of interest（ROI）
detection
knowledge database
feature extraction
reasoning mechanism
