A Sparse Image Fusion Algorithm With Application to Pan-Sharpening
By Xiaoxiang Zhu, Richard Bamler. IEEE Transactions on Geoscience and Remote Sensing, 2013
436 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Media Technology
View Paper: https://www.semanticscholar.org/paper/2cd853375e52bf97ef6ef921ad08299683cd7167
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Shutao Li
- Francesca Bovolo
- Xudong Kang
- Jon Atli Benediktsson
- Leyuan Fang
- Jianwen Hu
- Pedram Ghamisi
- Haitao Yin
In Computational Mechanics
- Zhihui Wei
- Giuseppe Scarpa
- Sergio Vitale
- Jon Atli Benediktsson
- Lorenzo Bruzzone
- Jocelyn Chanussot
- Hongyi Liu
- Yunhong Wang
In Media Technology
- Shutao Li
- Jocelyn Chanussot
- Leyuan Fang
- Jon Atli Benediktsson
- Xudong Kang
- Lorenzo Bruzzone
- Pedram Ghamisi
- Giuseppe Scarpa
Citations in the corpus
- Pixel-level image fusion: A survey of the state of the art (2017, methodology): “Methods Transforms Fusion strategies Multi-scale decomposition pyramid[4], wavelet [5, 11, 12], complex wavelet [13], curvelet[14, 15], contourlet [16–23], shearlet [24–26], edge-preserving decompositions[27– 29], anisotropic heat diffusion[30], log-Gabor transform[31], support value transform [32, ”
- A New Pan-Sharpening Method With Deep Neural Networks (2015, methodology): “Zhu and Bamler [11] proposed a new pansharpening method named SparseFI, which explores the sparse representation of MS image patches in a dictionary trained only from the PAN image without training images.”
- Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019, methodology): “[71] X.”
- Target-Adaptive CNN-Based Pansharpening (2017, methodology): “Compressive sensing and dictionary based methods, for example, have been successfully applied to pansharpening in several papers [31], [32], [33], [34], [35], [36].”
- Remote Sensing Image Fusion Based on Two-Stream Fusion Network (2017, background): “For instance, Li [12] and Zhu [35] model remote sensing image pan-sharpening from compressed sensing theory.”
- A Critical Comparison Among Pansharpening Algorithms (2015, background): “Among the latter, it is possible to refer to the seminal works [29], [30] that introduced this approach.”
- Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature (2017, background): “A large number of pan-sharpening techniques have been developed over the past two decades; representative techniques can be roughly categorized as follows: 1) component substitution (CS) [19]–[21], 2) multiresolution analysis (MRA) [22], [23], and 3) sparse representation (SR) [18], [24], [25].”