Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data
García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Laparra, Valero (Universitat de Valencia. Laboratori de Processament d'imatges)
Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Calbet, Xavier (AEMET)
Camps Valls, Gustau (Universitat de Valencia. Laboratori de Processament d'imatges)

Data:	2019
Resum:	In this paper, we analyze the effect of spatial and spectral compression on the performance of statistically based retrieval. Although the quality of the information is not com- pletely preserved during the coding process, experiments reveal that a certain amount of compression may yield a positive impact on the accuracy of retrievals. We unveil two strategies, both with interesting benefits: either to apply a very high compression, which still maintains the same retrieval performance as that obtained for uncompressed data; or to apply a moderate to high compression, which improves the performance. As a second contribution of this paper, we focus on the origins of these benefits. On the one hand, we show that a certain amount of noise is removed during the compression stage, which benefits the retrievals performance. On the other hand, we analyze the effect of compression on spectral/spatial regularization (smoothing). We quantify the amount of information shared among the spatial neighbors for the different methods and compression ratios. We also propose a simple strategy to specifically exploit spectral and spatial relations and find that, when these relations are taken into account beforehand, the benefits of compression are reduced. These experiments suggest that compression can be understood as an indirect way to regularize the data and exploit spatial neighbors information, which improves the performance of pixelwise statistics-based retrieval algorithms.
Ajuts:	Ministerio de Economía y Competitividad TIN2015-71126-R Ministerio de Economía y Competitividad RTI2018-095287-B-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-463 European Commission 647423
Drets:	Aquest material està protegit per drets d'autor i/o drets afins. Podeu utilitzar aquest material en funció del que permet la legislació de drets d'autor i drets afins d'aplicació al vostre cas. Per a d'altres usos heu d'obtenir permís del(s) titular(s) de drets.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Infrared atmospheric sounding interferometer (IASI) ; Joint Photographic Experts Group (JPEG) 2000 ; Kernel methods ; Lossy compression ; Regression ; Spectral transforms ; Statistically based retrieval
Publicat a:	IEEE transactions on geoscience and remote sensing, Vol. 57, Issue 8 (August 2019) , p. 5651 - 5668, ISSN 1558-0644

DOI: 10.1109/TGRS.2019.2901396

Postprint 19 p, 1.8 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Enginyeries > Group on Interactive Coding of Images (GICI)
Articles > Articles de recerca
Articles > Articles publicats