通信学报Issue(3)：192-198,7.DOI:10.3969/j.issn.1000-436x.2013.03.025
基于光强-光谱-偏振信息融合的水下目标检测
Light intensity, spectrum and polarization information fusion based underwater object detection
摘要
Abstract
Difficulties and high computational costs in the model establishment and parameter estimation seriously de-graded the efficiency of the underwater object detection system, making them too cumbersome to the practical work. A noval light intensity, spectrum and polarization feature fusion method was proposed. This method directly introduces the prior underwater knowledge into the system for feature fusion, getting rid of the harassment of the image preprocessing. Experiments prove that this method by comparison can achieve more reliable results at the lower computational cost.关键词
水下图像处理/水下目标检测/信息融合/机器学习Key words
underwater image processing/underwater object detection/information fusion/machine learning分类
信息技术与安全科学引用本文复制引用
陈哲,王慧斌,沈洁,徐立中..基于光强-光谱-偏振信息融合的水下目标检测[J].通信学报,2013,(3):192-198,7.基金项目
国家自然科学基金资助项目(61263029) （61263029）
