CAJ | 학술논문

针对多光谱遥感图像中复杂海面背景下海上舰船检测问题,在高斯模型RX异常检测算法的基础上进行改进,提出一种基于色彩空间变换的复杂海面上舰船感兴趣区域(ROI)的自动检测方法,解决了传统的阈值分割方法在遥感图像复杂海面背景下较难将目标与背景分离的问题.在多种不同复杂海面背景下的舰船ROI检测实验中,与传统阈值分割方法比较,该舰船ROI检测方法有较好的检测效果.
침대다광보요감도상중복잡해면배경하해상함선검측문제,재고사모형RX이상검측산법적기출상진행개진,제출일충기우색채공간변환적복잡해면상함선감흥취구역(ROI)적자동검측방법,해결료전통적역치분할방법재요감도상복잡해면배경하교난장목표여배경분리적문제.재다충불동복잡해면배경하적함선ROI검측실험중,여전통역치분할방법비교,해함선ROI검측방법유교호적검측효과.
Since it is difficult to detect the ships with complex sea background in multispectral remote sensing images,with the improvement on the basis of RX(Reed-Xiaoli)anomaly detection algorithm of Gaussian model,an automatic detection method of region of interest(ROI)of ship in complex sea based on color space transformation is proposed. The problem that the tradi-tional threshold segmentation methods are hard to separate the target in the remote sensing image from the complex sea was solved. Compared with the traditional threshold segmentation methods,the ship ROI detection method has better detection re-sults in ship ROI detection experiments under various complex sea background.