红外技术2016，Vol.38Issue(3)：218-224,7.
结合稀疏表示与图像压缩融合的目标检测
Compressive Fusion and Target Detection Based on Sparse Representation
摘要
Abstract
A target detection approach is developed using compressive fused image for target detection. Firstly, an over-complete dictionary is constructed with atoms which are produced by two-dimensional Gaussian model. Secondly, we encode the sensor data on the constructed over-complete dictionary and combine the coefficients with the fusion impact factor. Targets can be determined by the sparse index of the fused coefficients. Experiment results show that the proposed approach has a higher recognition rate on account of the information enhanced.关键词
稀疏表示/超完备字典/图像压缩融合/目标检测Key words
sparse representation/over-complete dictionary/image compressive fusion/target detection分类
信息技术与安全科学引用本文复制引用
梅家诚,王瑞,叶汉民..结合稀疏表示与图像压缩融合的目标检测[J].红外技术,2016,38(3):218-224,7.基金项目
国家自然科学基金青年项目(61301027). （61301027）
