Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data

Joaquin Garcia-Sobrino*, Valero Laparra, Joan Serra-Sagrista, Xavier Calbet, Gustau Camps-Valls

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

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 completely 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.

Original languageAmerican English
Article number8671510
Pages (from-to)5651-5668
Number of pages18
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume57
Issue number8
DOIs
Publication statusPublished - Aug 2019

Keywords

  • Infrared atmospheric sounding interferometer (IASI)
  • Joint Photographic Experts Group (JPEG) 2000
  • Kernel methods
  • lossy compression
  • regression
  • spectral transforms
  • statistically based retrieval

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