Remote sensing images are becoming more and more important for a large number of applications. The growing interest is motivated by several concurring reasons, one of the most important being the improved quality of state-of-the art sensors which deliver images with very high spatial, spectral, and radiometric resolution. However, together with this wealth of information comes the problem of managing such a huge amount of data which must be transmitted to the ground station on limited-capacity channels, archived for long periods of time, and finally disseminated to the end users on common transmission facilities. Therefore, suitable compression algorithms are highly desirable in all the phases of the data lifetime and can play a central role for the success of remote-sensing applications, as is testified by the growing bulk of related scientific literature, and by the attention paid to this topic by national space agencies.

Authors	Title	Journal/Conference	Date	File
G. Poggi, D. Cozzolino and L. Verdoliva	Self Organizing Maps for the design of Multiple Description Vector Quantizers	Neurocomputing	2013
A. Greco, G. Poggi, L. Verdoliva and S. Serva	Effects of Compression on SAR image interpretability	IEEE Gold Remote Sensing Conference	2010
G. Poggi and L. Verdoliva	Design of Low-Resolution Multiple Description Vector Quantizers by means of the Self Organizing Maps	European Signal Processing Conference (EUSIPCO)	2008
S. Parrilli, G. Poggi and L. Verdoliva	A SPIHT-like Image Coder Based on the Contourlet Transform	IEEE International Conference on Image Processing (ICIP)	2008
M. Cagnazzo, G. Poggi and L. Verdoliva	Region-based transform coding of multispectral images	IEEE Transactions on Image Processing	2007
M. Cagnazzo, S. Parrilli, G. Poggi and L. Verdoliva	Improved Class-Based Coding of Multispectral Images With Shape-Adaptive Wavelet Transform	IEEE Geoscience and Remote Sensing Letters	2007
M. Cagnazzo, S. Parrilli, G. Poggi and L. Verdoliva	Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform	EURASIP Journal on Image and Video Processing	2007
M. Cagnazzo, L. Cicala, G. Poggi and L. Verdoliva	Low-complexity compression of multispectral images based on classified transform coding	Signal Processing: Image Communication	2006
M. Cagnazzo, R. Gaetano, S. Parrilli and L. Verdoliva	Adaptive Region-based Compression of Multispectral Images	IEEE International Conference on Image Processing (ICIP)	2006
M. Cagnazzo, R. Gaetano, S. Parrilli and L. Verdoliva	Region based Compression of Multispectral Images by Classified KLT	European Signal Processing Conference (EUSIPCO)	2006
M. Cagnazzo, L. Cicala, G. Poggi, G. Scarpa and L. Verdoliva	An Unsupervised Segmentation-based Coder for Multispectral Images	European Signal Processing Conference (EUSIPCO)	2005
M. Cagnazzo, G. Poggi and L. Verdoliva	A Comparison of Flat and Object-based Transform Coding Techniques for the Compression of Multispectral Images	IEEE International Conference on Image Processing (ICIP)	2005
M. Cagnazzo, G. Poggi and L. Verdoliva	Costs and Advantages of Shape-Adaptive Wavelet Transform for Region-based Image Coding	IEEE International Conference on Image Processing (ICIP)	2005
M. Cagnazzo, G. Poggi, G. Scarpa and L. Verdoliva	Compression of multitemporal remote sensing images through Bayesian segmentation	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)	2004
M. Cagnazzo, G. Poggi, L. Verdoliva and A. Zinicola	Region-oriented Compression of Multispectral Images by Shape-Adaptive Wavelet Transform and SPIHT	IEEE International Conference on Image Processing (ICIP)	2004
M. Cagnazzo, G. Poggi and L. Verdoliva	The advantage of segmentation in SAR image compression	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)	2002
C. D'Elia, G. Poggi and L. Verdoliva	Compression of SAR Raw Data Through Range Focusing and Variable-Rate Trellis-Coded Quantization	IEEE Transactions on Image Processing	2001
G. Poggi, A. R. P. Ragozini and L. Verdoliva	Compression of SAR Data Through Range Focusing and Variable-Rate Vector Quantization	IEEE Transactions on Geoscience and Remote Sensing	2000
C. D'Elia, G. Poggi and L. Verdoliva	Compression of SAR raw data via range focusing and trellis coded quantization	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)	2000
P. Dragotti, G. Poggi and A. R. P. Ragozini	Compression of Multispectral Images by Three-Dimensional SPIHT Algorithm	IEEE Transactions on Geoscience and Remote Sensing	2000
G. Poggi, A. R. P. Ragozini and L. Verdoliva	On-board compression of SAR data through range focusing	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)	1999
G. Gelli and G. Poggi	Compression of multispectral images by spectral classification and transform coding	IEEE Transactions on Image Processing	1999
G. R. Canta and G. Poggi	Kronecker-product gain-shape vector quantization for multispectral and hyperspectral image coding	IEEE Transactions on Image Processing	1998
G. R. Canta and G. Poggi	Compression of multispectral images by address-predictive vector quantization	Signal Processing: Image Communication	1997