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Proceedings Paper

Spatial resolution enhancement of ASTER thermal bands
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Leonardo Santurri; Massimo Selva
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Paper Abstract

Image fusion aims at the exploitation of the information conveyed by data acquired by different imaging sensors. A notable application is merging images acquired from space by panchromatic and multi- or hyper-spectral sensors that exhibit complementary spatial and spectral resolution. Multiresolution analysis has been recognized efficient for image fusion. The Generalized Laplacian Pyramid (GLP), in particular, has been proven as the most efficient scheme due to its capability of managing images whose scale ratios are fractional numbers (non-dyadic data) and to its simple and easy implementation. Data merge based on multiresolution analysis, however, requires the definition of a model establishing how the missing spatial details to be injected into the multi-spectral bands are extracted from the panchromatic image. The model can be global over the whole image or depend on the local space-spectral context. This paper reports results on the fusion of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Each of the five thermal infrared (TIR) images (90m) is merged with the most correlated visible-near infrared (VNIR) image (15m). Due to the 6:1 scale ratio, the GLP has been utilized. The injection of spatial details has been ruled by means of the Spectral Distortion Minimizing (SDM) model that minimizes the spectral distortion between the resampled and fused images. Notwithstanding the lack of a spectral overlap between the VNIR and the TIR bands, experimental results show that the fused images keep their spectral characteristics while the spatial resolution is enhanced.

Paper Details

Date Published: 18 October 2005
PDF: 10 pages
Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59821G (18 October 2005); doi: 10.1117/12.666545
Show Author Affiliations
Bruno Aiazzi, Inst. of Applied Physics, Nello Carrara (Italy)
Luciano Alparone, Univ. of Florence (Italy)
Stefano Baronti, Inst. of Applied Physics, Nello Carrara (Italy)
Leonardo Santurri, Inst. of Applied Physics, Nello Carrara (Italy)
Massimo Selva, Inst. of Applied Physics, Nello Carrara (Italy)


Published in SPIE Proceedings Vol. 5982:
Image and Signal Processing for Remote Sensing XI
Lorenzo Bruzzone, Editor(s)

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