The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
1272
Piella, G.,2003. A general framework for multiresolution image
fusion: From pixels to regions. Information Fusion, 4(4), pp.
259-280.
Pohl, C., Genderen, J. L. V.,1998. Multisensor image fusion in
remote sensing: concepts, methods and applications.
International Journal of Remote Sensing, 19(5), pp. 823-854.
Wald, L., Ranchin, T., Mangolini, M.,1997. Fusion of satellite
images of different spatial resolutions: Assessing the quality of
resulting images. Photogrammetric Engineering & Remote
Sensing, 63(6), pp. 691-699.
Wang, R„ Gao, L. Q„ Yang, S„ Chai, Y.H., Liu,Y.C.,2005. An
Image Fusion Approach Based On Segmentation Region.
International Journal of Information Technology, 11(7), pp. 92-
100.
Wang, Z., Bovik, A.C.,2002. A universal image quality index.
IEEE Signal Processing Letters, 9(3), pp. 81-84.
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.,2004.
Image quality assessment: From error visibility to structural
similarity. IEEE Transaction on Image Processing, 13(4), pp.
600-612.
Zhang, Z., Blum, R.S.,1997. A Region-based image fusion
scheme for concealed weapon detection. Proceedings of 31st
Annual Conference on Information Sciences and Systems,
March, pp. 168-173.
Zhen, J., He, G.J.,2005. Shortages of the data fusion approaches
to high-resolution satellite images and expected improvements.
Remote sensing information, April, pp.45-48.