Bruno Aiazzi
Bruno Aiazzi
Ricercatore CNR
Verified email at ifac.cnr.it
Title
Cited by
Cited by
Year
Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis
B Aiazzi, L Alparone, S Baronti, A Garzelli
IEEE Transactions on geoscience and remote sensing 40 (10), 2300-2312, 2002
7962002
Improving Component Substitution Pansharpening Through Multivariate Regression of MSPan Data
B Aiazzi, S Baronti, M Selva
IEEE Transactions on Geoscience and Remote Sensing 45 (10), 3230-3239, 2007
7462007
MTF-tailored multiscale fusion of high-resolution MS and Pan imagery
B Aiazzi, L Alparone, S Baronti, A Garzelli, M Selva
Photogrammetric Engineering & Remote Sensing 72 (5), 591-596, 2006
5772006
Multispectral and panchromatic data fusion assessment without reference
L Alparone, B Aiazzi, S Baronti, A Garzelli, F Nencini, M Selva
Photogrammetric Engineering & Remote Sensing 74 (2), 193-200, 2008
5072008
Image fusion—The ARSIS concept and some successful implementation schemes
T Ranchin, B Aiazzi, L Alparone, S Baronti, L Wald
ISPRS Journal of Photogrammetry and Remote Sensing 58 (1-2), 4-18, 2003
4572003
A comparison between global and context-adaptive pansharpening of multispectral images
B Aiazzi, S Baronti, F Lotti, M Selva
IEEE Geoscience and Remote Sensing Letters 6 (2), 302-306, 2009
2052009
Lossless compression of multi/hyper-spectral imagery based on a 3-D fuzzy prediction
B Aiazzi, P Alba, L Alparone, S Baronti
IEEE Transactions on Geoscience and Remote Sensing 37 (5), 2287-2294, 1999
1521999
Near-lossless compression of 3-D optical data
B Aiazzi, L Alparone, S Baronti
IEEE Transactions on Geoscience and Remote Sensing 39 (11), 2547-2557, 2001
1472001
Hyper-sharpening: A first approach on SIM-GA data
M Selva, B Aiazzi, F Butera, L Chiarantini, S Baronti
IEEE Journal of selected topics in applied earth observations and remote …, 2015
1302015
A theoretical analysis of the effects of aliasing and misregistration on pansharpened imagery
S Baronti, B Aiazzi, M Selva, A Garzelli, L Alparone
IEEE Journal of Selected Topics in Signal Processing 5 (3), 446-453, 2011
1252011
Multiresolution local-statistics speckle filtering based on a ratio Laplacian pyramid
B Aiazzi, L Alparone, S Baronti
IEEE Transactions on Geoscience and Remote Sensing 36 (5), 1466-1476, 1998
1251998
An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas
B Aiazzi, L Alparone, S Baronti, A Garzelli, M Selva
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over …, 2003
1242003
Remote sensing image fusion
L Alparone, B Aiazzi, S Baronti, A Garzelli
Crc Press, 2015
1202015
Estimation based on entropy matching for generalized Gaussian PDF modeling
B Aiazzi, L Alparone, S Baronti
IEEE Signal Processing Letters 6 (6), 138-140, 1999
1191999
Lossless image compression by quantization feedback in a content-driven enhanced Laplacian pyramid
B Aiazzi, L Alparone, S Baronti, F Lotti
IEEE Transactions on Image Processing 6 (6), 831-843, 1997
1051997
Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
B Aiazzi, L Alparone, A Barducci, S Baronti, P Marcoionni, I Pippi, M Selva
Annals of Geophysics 49 (1), 2006
892006
Spatial methods for multispectral pansharpening: Multiresolution analysis demystified
L Alparone, S Baronti, B Aiazzi, A Garzelli
IEEE transactions on geoscience and remote sensing 54 (5), 2563-2576, 2016
822016
Information-theoretic assessment of sampled hyperspectral imagers
B Aiazzi, L Alparone, A Barducci, S Baronti, I Pippi
IEEE Transactions on Geoscience and Remote Sensing 39 (7), 1447-1458, 2001
822001
A reduced Laplacian pyramid for lossless and progressive image communication
B Aiazzi, L Alparone, S Baronti
IEEE transactions on communications 44 (1), 18-22, 1996
781996
Pan-sharpening of multispectral images: A critical review and comparison
A Garzelli, F Nencini, L Alparone, B Aiazzi, S Baronti
IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium 1, 2004
772004
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