Pan-Sharpening via Coupled Unitary Dictionary Learning

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• 关键词：Pan ; sharpening ; Sparse representation ; Sub ; dictionaries learning ; K ; means clustering
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9219
• 期：1
• 页码：1-10
• 全文大小：2,918 KB
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• 作者单位：Shumiao Chen (14)
  Liang Xiao (14) (15)
  Zhihui Wei (14)
  Wei Huang (14)
  
  14. School of Computer Science and Engineering, Nanjing University of Science and Technology, Xiaolingwei Street 200, Nanjing, 210094, Jiangsu, China
  15. Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Xiaolingwei Street 200, Nanjing, 210094, Jiangsu, China
  
• 丛书名：Image and Graphics
• ISBN：978-3-319-21969-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

In this paper, we propose a new pan-sharpening method by coupled unitary dictionary learning and clustered sparse representation. First, we randomly sample image patch pairs from the training images exclude the smooth patches, and divide these patch pairs into different groups by K-means clustering. Then, we learn sub-dictionaries offline from corresponding group patch pairs. Particularly, we use the principal component analysis (PCA) technique to learn sub-dictionaries. For a given LR MS patch, we adaptively select one sub-dictionary to reconstruct the HR MS patch online. Experiments show that the proposed method produces images with higher spectral resolution while maintaining the high-quality spatial resolution and gives better visual perception compared with the conventional methods.