MAP-based denoising of hyperspectral imagery using 3-D edge-preserving priors
Chen Shaolin; Hu Xiyuan; Peng Silong; Shaolin Chen
2012
会议名称2012 2nd International Conference on Remote Sensing Environment and Transportation Engineering RSETE 2012
会议日期2012/6/1-2012/6/3
会议地点中国NanjingChina
摘要In the hyperspectral imaging acquired images are inherently affected by noise whose levels may vary from band to band. It is not a trivial task to remove this kind of noise while preserving the edges and details of hyperspectral images (HSIs). This paper provides a maximum a posterior (MAP)-based denoising approach for HSIs corrupted by band-varying noise. Compared with the classical MAP-based methods for 2-D degraded image restoration the proposed approach uses 3-D edge preserving priors to keep sharp edges while smoothing the 3-D HSIs. In order to adapt to the characteristics of bandvarying noise statistics and high dynamic ranges of HSIs we adaptively estimate the noise variance and scaling parameter of each point. For minimizing the cost function the half-quadratic optimization algorithm is used. Both denoising and classification experimental results confirm the superiority and validity of the proposed method
关键词Hyperspectral Images Denoising Map Edgepreserving Prior
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12877
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Shaolin Chen
推荐引用方式
GB/T 7714
Chen Shaolin,Hu Xiyuan,Peng Silong,et al. MAP-based denoising of hyperspectral imagery using 3-D edge-preserving priors[C],2012.
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