Quaternion-Based Sparse Model for Pan-Sharpening of IRS Satellite Images-Reference-Cited by-同舟云学术

Quaternion-Based Sparse Model for Pan-Sharpening of IRS Satellite Images

Published:2018-10-26 Issue:12 Volume:46 Page:2069-2079
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Synthiya Vinothini D.^ORCID,Sathya Bama B.

Funder

University Grants Commission

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

http://link.springer.com/article/10.1007/s12524-018-0878-8/fulltext.html

Reference30 articles.

1. Aiazzi, B., Alparone, L., Baronti, S., Garzelli, A., & Selva, M. (2003). An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas. In 2nd GRSS/ISPRS joint workshop on remote sensing and data fusion over urban areas, 2003 (pp. 90–94). IEEE.

2. Aiazzi, B., Baronti, S., & Selva, M. (2007). Improving component substitution pansharpening through multivariate regression of MS + Pan data. IEEE Transactions on Geoscience and Remote Sensing, 45(10), 3230–3239.

3. Amolins, K., Zhang, Y., & Dare, P. (2007). Wavelet based image fusion techniques—An introduction, review and comparison. ISPRS Journal of Photogrammetry and Remote Sensing, 62(4), 249–263.

4. Chavez, P., Sides, S. C., & Anderson, J. A. (1991). Comparison of three different methods to merge multiresolution and multispectral data- Landsat TM and SPOT panchromatic. Photogrammetric Engineering and Remote Sensing, 57(3), 295–303.

5. Cheng, M., Wang, C., & Li, J. (2014). Sparse representation based pansharpening using trained dictionary. IEEE Geoscience and Remote Sensing Letters, 11(1), 293–297.