摘要
基于光学遥感图像的目标检测与分类识别是遥感图像处理与分析领域备受关注的课题,其核心任务是判断遥感图像中是否存在目标,并对其进行检测、分割、特征提取与分类识别。遥感图像的目标检测是大范围地面信息获取的重要途径,目标分割是对遥感图像进行进一步处理和应用的基础,提取特征能否有效描述目标区域将直接影响后期检测和识别的结果,识别算法的选取对于目标的正确识别至关重要。因此从以下四个方面对这一研究领域进行介绍:1)目标检测;2)图像分割;3)特征提取;4)分类识别,并对研究难点及未来的发展趋势作较为详细的分析。
The method of target detection and classified recognition based on optimal remote sensing image is a focus in the field of remote sensing process and analysis. The aim is to locate targets and carry out detection, segmentation, feature extraction and classified recognition. The target detection of remote sensing image is an important channel to obtain the ground information in a large scale. The target segmentation is the foundation of completing the further processing and application. Feature extraction will directly affect the results of later detection and recognition. The selection of recognition algorithm is vital for the correct recognition of the target. So we will introduce the research field from the following four aspects ： 1 ） target detection ; 2 ） image segmentation ; 3 ） feature extraction ; and 4 ） classified recognition. Furthermore, a detailed analysis of the difficulties and the future development trends in this research field are listed.
出处
《沈阳航空航天大学学报》
2015年第1期23-31,共9页
Journal of Shenyang Aerospace University
基金
国家自然科学基金青年基金(项目编号:61103123)
教育部留学回国人员启动基金资助(项目编号:2013693)
关键词
光学遥感图像
目标检测
图像分割
特征提取
分类识别
optical remote sensing image
target detection
image segmentation
feature extraction
classified recognition
