Enhancing spatial resolution of OLI 100m thermal bands through hypersharpening of 30m spectral bands

We propose a two-step spatial enhancement procedure for the two 100m thermal infra red (TIR) bands of LandSat 8/9, captured by its TIR spectrometer (TIRS), approached as a problem of fusion of heterogeneous data, or multimodal fusion. The fusion algorithm is guided by the statistical similarity between the TIR and visible and near infra red (VNIR) and short wave infra red (SWIR) bands provided at 30m by the operational land imager (OLI). In the first step, hyper-sharpening is applied from 100m scale to 30m scale (3:10 scale ratio): the two TIRS bands are spatially enhanced by means of two linear combination of the 30m VNIR+SWIR bands, devised to maximize the correlation with each thermal band at its native 100m scale. In the second step, the thermal bands, previously hyper-sharpened at 30m, are pansharpened through the 15m Panchromatic (PAN) band of OLI. The proposed approach is compared to plain 100m-to-15m pansharpening carried out uniquely by means of the Pan image of OLI. Both visual evaluations and statistical indexes measuring the radiometric and spatial consistency at the three scales are provided and discussed. The superiority of the two-step approach is undoubtedly highlighted.

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Published
2024-11-20
DOI
https://doi.org/10.1117/12.3031446
Primary Topic
Chalcogenide Semiconductor Thin Films
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article
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article

Enhancing spatial resolution of OLI 100m thermal bands through hypersharpening of 30m spectral bands

Simone Lolli, Luciano Alparone, Andrea Garzelli, Alberto Arienzo
Chalcogenide Semiconductor Thin Films
article

Enhancing spatial resolution of OLI 100m thermal bands through hypersharpening of 30m spectral bands

Simone Lolli, Luciano Alparone, Andrea Garzelli, Alberto Arienzo
article en

Abstract

We propose a two-step spatial enhancement procedure for the two 100m thermal infra red (TIR) bands of LandSat 8/9, captured by its TIR spectrometer (TIRS), approached as a problem of fusion of heterogeneous data, or multimodal fusion. The fusion algorithm is guided by the statistical similarity between the TIR and visible and near infra red (VNIR) and short wave infra red (SWIR) bands provided at 30m by the operational land imager (OLI). In the first step, hyper-sharpening is applied from 100m scale to 30m scale (3:10 scale ratio): the two TIRS bands are spatially enhanced by means of two linear combination of the 30m VNIR+SWIR bands, devised to maximize the correlation with each thermal band at its native 100m scale. In the second step, the thermal bands, previously hyper-sharpened at 30m, are pansharpened through the 15m Panchromatic (PAN) band of OLI. The proposed approach is compared to plain 100m-to-15m pansharpening carried out uniquely by means of the Pan image of OLI. Both visual evaluations and statistical indexes measuring the radiometric and spatial consistency at the three scales are provided and discussed. The superiority of the two-step approach is undoubtedly highlighted.

University of Siena (IT), IMA (Italy) (IT), University of Florence (IT)
Openalex Percentile: Top 82%
Chalcogenide Semiconductor Thin Films
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Enhancing spatial resolution of OLI 100m thermal bands through hypersharpening of 30m spectral bands — Simone Lolli, Luciano Alparone, et al. · (2024) | TGRS Research Map | TGRS