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作 者:邓磊 周冰 应家驹 陈玉丹 王强辉 赵佳乐 DENG Lei;ZHOU Bing;YING Jiaju;CHEN Yudan;WANG Qianghui;ZHAO Jiale(Shijiazhuang Campus,Army University of Engineering of PLA,Shijiazhuang 050003,China;State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,Luoyang 471003,China)
机构地区:[1]陆军工程大学石家庄校区,河北石家庄050003 [2]电子信息系统复杂电磁环境效应重点实验室,河南洛阳471003
出 处:《陆军工程大学学报》2025年第1期53-60,共8页Journal of Army Engineering University of PLA
摘 要:高光谱图像目标检测技术在多个领域具有显著的应用潜力,为充分挖掘高光谱图像中丰富的空间和光谱信息,提出了一种结合Gabor滤波与约束能量最小化(constrained energy minimization,CEM)的高光谱图像目标检测方法Gabor-CEM。该方法充分结合了Gabor滤波器和CEM算法的优点,利用Gabor滤波器有效地提取高光谱图像的空间纹理和方向特征,为目标检测提供丰富的空间信息;凭借CEM算法对目标光谱信息的高效利用,对目标进行定位和识别。利用野外成像光谱仪拍摄的高光谱图像进行实验,结果表明,相较传统方法,Gabor-CEM方法能够更准确地检测出目标,降低误检率和漏检率,在目标检测任务中具有显著优势,为高光谱图像目标检测提供了一种新的有效途径。Hyperspectral image target detection technology has important application value in many fields.In order to fully exploit the rich spatial and spectral information in hyperspectral images,a hyperspectral image target detection method called Gabor-CEM,which combines Gabor filtering with constrained energy minimization(CEM),is proposed.This method fully combines the advantages of the Gabor filtering and the CEM algorithm.The Gabor filtering is utilized to effectively extract the spatial texture and orientation features from hyperspectral images,providing abundant spatial information for target detection.Meanwhile,the CEM algorithm is leveraged for efficient utilization of target spectral information,enabling target localization and identification.Experiments were conducted using hyperspectral images captured by a field imaging spectrometer,and the results showed that compared with the traditional methods,the Gabor-CEM method can more accurately detect targets,reduce false positives and false negatives,and has significant advantages in target detection tasks,providing a new and effective approach for hyperspectral image target detection.
关 键 词:高光谱成像 空谱联合 GABOR滤波 约束能量最小化
分 类 号:TP751.1[自动化与计算机技术—检测技术与自动化装置]
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