References
- Aiazzi, B., Alparone, L., Baronti, S., Garzelli, A., and Selva, M. (2006), MTF-tailored multiscale fusion of high-resolution MS and Pan imagery, Photogrammetric Engineering and Remote Sensing , Vol. 72, No. 5, pp. 591-596. https://doi.org/10.14358/PERS.72.5.591
- Aiazzi, B., Baronti, S., and Selva, M. (2007), Improving component substitution pansharpening through multivariate regression of MS + Pan data, IEEE Transactions on Geoscience and Remote Sensing , Vol. 45, No. 10, pp. 3230-3239. https://doi.org/10.1109/TGRS.2007.901007
- Aiazzi, B., Baronti, S., Lotti, F., and Selva, M. (2009), A comparison between global and context-adaptive pansharpening of multispectral images, IEEE Geoscience and Remote Sensing Letters , Vol. 6, No. 2, pp. 302-306. https://doi.org/10.1109/LGRS.2008.2012003
- Aiazzi, B., Alparone, L., Baronti, S., Carla, R., Garzelli, A., and Santurri, L. (2017), Sensitivity of pansharpening methods to temporal and instrumental changes between multispectral and panchromatic data sets, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 1, pp. 308-319. https://doi.org/10.1109/TGRS.2016.2606324
- Chavez, P., Sides, S.C., and 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 , Vol. 57, No. 3, pp. 295-303.
- Choi, J., Yu, K., and Kim, Y. (2011), A new adaptive component-substitution-based satellite image fusion by using partial replacement, IEEE Transactions on Geoscience and Remote Sensing , Vol. 49, No. 1, pp. 295-309. https://doi.org/10.1109/TGRS.2010.2051674
- Choi, J., Yeom, J., Chang, A., Byun, Y., and Kim, Y. (2013), Hybrid pansharpening algorithm for high spatial resolution satellite imagery to improve spatial quality, IEEE Geoscience and Remote Sensing Letters , Vol. 10, No. 3, pp. 490-494. https://doi.org/10.1109/LGRS.2012.2210857
- DigitalGlobe. (2013), Spectral response for DigitalGlobe earth imaging instruments, DigitalGlobe Technical Information, https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/105/DigitalGlobe_Spectral_Response_1.pdf (last date accessed: 9 September 2018).
- Dong, L. and Shan, J. (2013), A comprehensive review of earthquake-induced building damage detection with remote sensing techniques, ISPRS Journal of Photogrammetry and Remote Sensing , Vol. 84, pp. 85-99. https://doi.org/10.1016/j.isprsjprs.2013.06.011
- Kim, Y., Choi, J., Han, D., and Kim, Y. (2015), Blockbased fusion algorithm with simulated band generation for hyperspectral and multispectral images of partially different wavelength ranges, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , Vol. 8, No. 6, pp. 2997-3007. https://doi.org/10.1109/JSTARS.2015.2433673
- Lee, M.S., Kim, S.J., Shin, H.S., Park, J.K., and Park, J.H. (2009), Extraction of agricultural land use and crop growth information using KOMPSAT-3 resolution satellite image, Korean Journal of Remote Sensing , Vol. 25, No. 5, pp. 411-421. (in Korean with English abstract)
- Liu, J.G. (2000), Smoothing filter-based intensity modulation: A spectral preserve image fusion technique for improving spatial details, International Journal of Remote Sensing , Vol. 21, No. 18, pp. 3461-3472. https://doi.org/10.1080/014311600750037499
- Oh, K., Jung, H., and Lee, K. (2012), Comparison of image fusion method to merge KOMPSAT-2 panchromatic and multispectral images, Korea Journal of Remote Sensing , Vol. 28, No. 1, pp. 39-54. (in Korean with English abstract) https://doi.org/10.7780/kjrs.2012.28.1.039
- Ranchin, T., and Wald, L. (2000), Fusion of high spatial and spectral resolution images: the ARSIS concept and its implementation, Photogrammetric Engineering and Remote Sensing , Vol. 66, No. 1, pp. 49-61.
- Stathaki, T. (2011), Image Fusion: Algorithms and Applications , Elsevier, New York, USA.
- Vivone, G., Alparone, L., Chanussot, J., Dalla Mura, M., Garzelli, A., Licciardi, G.A., Restaino, R., and Wald, L. (2015), A critical comparison among pansharpening algorithms., IEEE Transactions on Geoscience and Remote Sensing , Vol. 53, No. 5, pp. 2565-2586. https://doi.org/10.1109/TGRS.2014.2361734
- Wald, L. (2000), Quality of high resolution synthesized images: Is there a simple criterion?, International Conference of Fusion Earth Data-2000 , SEE/URISCA, 26-28, January, Sophia Antipolis, France, pp. 99-103.
- Wald, L., Ranchin, T., and Mangolini, M. (1997), Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images, Photogrammetric Engineering and Remote Sensing , Vol. 63, No. 6, pp. 691-699.
- Wang, Z. and Bovik, A.C. (2002), A universal image quality index, IEEE Signal Processing Letters , Vol. 9, No. 3, pp. 81-84. https://doi.org/10.1109/97.995823