Multivariate Image Processing

Multivariate imagery is now a very common tool in numerous applications, ranging from satellite remote sensing and astrophysics to biomedical imagery, monitoring of the environment or industrial inspection. Multivariate must be understood in th emost general way: color and multispectral imaging, but also multimodal, multisource or multitemporal imagery. In all the cases, the multivariate image corresponds to a set of standard grey level images. The availability of the additional diversity, be it spectral temporal and s.o., provides an invaluable source of information, enabling to consider a wide range of new applications. However, in order to address these applications, theoretical developments are required in terms of signal and image processing, or, more generally speaking, information processing. As a matter of fact, most of the standard algorithms designed for grey level images do not generalize easily to multidimensional spaces and some specific derivations are required. This book aims at presenting the most recent advances in signal and image processing for the analysis of multivariate data. It should be helpful for electrical engineers, PhD students and researcher working in the field of signal processing, but also for any engineer dealing with some specific application where multidimensional data are processed.

Registration of multimodal and multitemporal images / C. Cariou, K. Chehdi Fusion of SAR and optical observations / F. Tupin Fusion of satellite images at different resolutions / M. Khan, J. Chanussot Change detection in remote sensing observations / G. Mercier [and others] Bayesian approach to linear spectral mixture analysis / S. Moussaoui, D. Brie, C. Carteret Detection and tracking of emission rays in radioastronomy / V. Mazet, F. Flitti, C. Collet Wavelet transform for the denoising of multivariate images / C. Chaux [and others] Unsupervised classification for multivariate images / D. Nuzillard, V. Lazar Blind determination of noise type for spaceborne and airborne remote sensing / B. Vozel [and others] Multivariate mathematical morphology applied to color image analysis / E. Aptoula, S. Lefèvre Spectral-spatial classification of hyperspectral images using segmentation-derived adaptive neighborhoods / Y. Tarabalka, J. Chanussot, J.A. Benediktsson Parallelizing image analysis applications for spectral microscopy / E. Gabriel, S. Shah Hypercomplex models and processing of vector images / S.J. Sangwine, T.A. Ell, N. Le Bihan Panoramic integral-field spectrograph : ultraspectral data to understand the history of the universe / C. Collet, B. Perret, V. Mazet