A new pansharpening method using multi resolution analysis framework and deep neural networks

3rd International Conference on Pattern Analysis and Image Analysis, IPRIA 2017

Volumn , Issue , 2017, Pages 1-6

  Azarang, Arian ^a   Ghassemian, Hassan ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

deep neural networks; multi resolution analysis; Pansharpening

Indexed keywords

DEEP NEURAL NETWORKS; IMAGE FUSION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MULTIRESOLUTION ANALYSIS; REMOTE SENSING;

HIGH RESOLUTION; INTRINSIC PROPERTY; MULTISPECTRAL IMAGES; PAN-SHARPENING; REMOTE SENSING APPLICATIONS; SPECTRAL DISTORTIONS; STATE-OF-ART METHODS; TRAINING SAMPLE;

IMAGE ANALYSIS;

EID: 85027845077     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRIA.2017.7983017     Document Type: Conference Paper

References (26)

1. H. Ghassemian, "A retina based multi-resolution imagefusion." Geoscience and Remote Sensing Symposium, 2001. IGARSS'01. IEEE 2001 International. Vol. 2. IEEE, 2001.
2. H. Ghassemian, "Multi-sensor image fusion using multirate filter banks." Image Processing, 2001. Proceedings. 2001 International Conference on. Vol. 1. IEEE, 2001.
3. F. Mirzapour, and H. Ghassemian. "Object-based multispectral image segmentation and classification." Telecommunications (IST), 2014 7th International Symposium on. IEEE, 2014.
4. S. Niu, et al. "Robust noise region-based active contour model via local similarity factor for image segmentation." Pattern Recognition, vol. 61, pp. 104-119, Jan. 2017.
5. H. Ghassemian. "A review of remote sensing image fusion methods." Information Fusion, vol. 32, pp. 75-89, Nov. 2016.
6. M. Ghahremani, and H. Ghassemian. "A Compressed-Sensing-Based Pan-Sharpening Method for Spectral Distortion Reduction." IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 4, pp. 2194-2206, Nov. 2015.
7. S. Daneshvar, and H. Ghassemian. "MRI and PET images fusion based on human retina model." Journal of Zhejiang University-SCIENCE A, vol. 8, no. 10, pp. 1624-1632, 2007.
8. S. Daneshvar, and H. Ghassemian. "Fusion of MRI and PET images using retina based multi-resolution transforms." Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on. IEEE, 2007.
9. G. Vivone, et al. "A critical comparison among pansharpening algorithms." IEEE Transactions on Geosci. and Remote Sens., vol. 53, no. 5, pp. 2565-2586, May 2015.
10. W. Carper, T. Lillesand, and R. Kiefer, "The use of intensityhuesaturation transformations for merging SPOT panchromatic and multispectral image data," Photogramm. Eng. Remote Sens., vol. 56, no. 4, pp. 459-467, Apr. 1990.
11. Jr. P. S. Chavez, and A. W. Kwarteng, "Extracting spectral contrast in Landsat thematic mapper image data using selective principal component analysis," Photogramm. Eng. Remote Sens., vol. 55, no. 3, pp. 339-348, Mar. 1989.
12. C. A. Laben and B. V. Brower, "Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening," U.S. Patent6 011 875, 2000.
13. M. M. Khan, J. Chanussot, L. Condat, and A. Montavert, "Indusion: Fusion of multispectral and panchromatic images using the induction scaling technique," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 1, pp. 98-102, Jan. 2008.
14. M. J. Shensa, "The discrete wavelet transform: Wedding the à trous and Mallat algorithm," IEEE Trans. Signal Process., vol. 40, no. 10, pp. 2464-2482, Oct. 1992.
15. P. J. Burt, and E. H. Adelson, "The Laplacian pyramid as a compact image code," IEEE Trans. Commun., vol. 31, no. 4, pp. 532-540, Apr. 1983.
16. B. A. Olshausen, and D. J. Field. "Sparse Coding with an Overcomplete Basis Set: A Strategy Employed by V1." Vision Research, Vol. 37, pp. 3311-3325, Dec. 1997.
17. R. Salakhutdinov, A. Mnih, and G. Hinton,. "Restricted Boltzmann machines for collaborative filtering." Proceedings of the 24th international conference on Machine learning. ACM, 2007.
18. J. Xie, L. Xu, and E. Chen. "Image denoising and inpainting with deep neural networks." Advances in Neural Information Processing Systems. 2012.
19. M. F. Moller, "A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning", Neural Networks, vol. 6, 1993, pp. 525-533.
20. Pascal Vincent, et al. "Extracting and composing robust features with denoising autoencoders." Proceedings of the 25th international conference on Machine learning. ACM, 2008.
21. H. R. Shahdoosti, and H. Ghassemian. "Combining the spectral PCA and spatial PCA fusion methods by an optimal filter." Information Fusion, vol. 27, pp. 150-160, Jan. 2016.
22. L. Alparone, S. Baronti, A. Garzelli, and F. Nencini, "A global quality measurement of pan-sharpened multispectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 313-317, Oct. 2004.
23. R. H. Yuhas, A. F. H. Goetz, and J. W. Boardman, "Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm," in Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop, pp. 147-149, 1992.
24. H. R. Shahdoosti, and H. Ghassemian. "Fusion of MS and PAN images preserving spectral quality." IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 3, pp. 611-615, Mar. 2015.
25. Z. Wang, et al. "Image quality assessment: from error visibility to structural similarity." IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.
26. Z. Wang and A. C. Bovik, "A universal image quality index," IEEE Signal Process. Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002.