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  • An Academic Publisher  (1)
  • Istituto Nazionale di Geofisica e Vulcanologia  (1)
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  • 1
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    Reflectance Spectra Measurements of Mt. Etna: A Comparison with Multipsectral/Hyperspectral Satellite (2015)
    An Academic Publisher
    Details
    Publication Date: 2017-04-04
    Description: The reflectance spectra were measured with a FieldSpecPro from 350 nm to 2500 nm during a fieldwork in June 2007. The reflectance has been compared with reflectance obtained by multispectral Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) and by hyper spectral EO1-Hyperion satellites. Prior the comparison, reflectance spectra have been convolved with ASTER and EO1-Hyperion spectral functions. The results show percentage errors in accordance to those present in literature in the ASTER SWIR range. However, some differences have been confirmed for the ASTER reflectance product (ASTER_07) in visible channels. Regarding EO1-Hyperion, a good agreement of reflectance against field measurement has been found resulting in 5% percentage maximum error in the VIS and up 30% in SWIR spectral range. The capacity of reproducing spectral feature by EO1-Hyperion has been checked on bright pixels (ice-snow) in the acquired image.
    Description: The authors thank D. Pieri, ASTER science Team Member, for the data acquisition planning support and the Jet Propulsion Laboratory, California Institute of Technology for providing ASTER imagery. We further thank the EO1 team for their free data policy, C. Carli for his support in the field measurements. We thank B. Behncke, A. La Spina and F. Murè (INGV Catania) for logistic support and assistance with their knowledge of the Mt. Etna area. A special thanks to Prof. Andrew Hardy for his English check.
    Description: Published
    Description: 235-245
    Description: 2V. Dinamiche di unrest e scenari pre-eruttivi
    Description: 3V. Dinamiche e scenari eruttivi
    Description: 6A. Monitoraggio ambientale, sicurezza e territorio
    Description: 5IT. Osservazioni satellitari
    Description: N/A or not JCR
    Description: open
    Keywords: Reflectance spectra ; satellite ; Etna ; 04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous ; 04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous ; 04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques ; 05. General::05.03. Educational, History of Science, Public Issues::05.03.99. General or miscellaneous ; 05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
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    Estimation of Signal to Noise Ratio for Unsupervised Hyperspectral Images (2011)
    Istituto Nazionale di Geofisica e Vulcanologia
    Details
    Publication Date: 2017-04-04
    Description: Hyperspectral sensors have become a standard technology used in the techniques of observation by satellite and aerial platform for observing the terrestrial ecosystem with particular interest in the detection and identification of minerals, vegetation, materials and artificial environments. The detection of real materials depends on the coverage spectral resolution and signal to noise ratio of the spectrometer itself, as well as the density of the material and the absorption characteristics for the material in the region of wavelength measured. The signal to noise ratio in particular is one of the parameters that need to be estimated to establish the quality of images acquired by these systems. In this contribution a method to estimate the Signal to Noise Ratio (SNR) for unsupervised hyperspectral images has been investigated. The method uses the computation of local means and local standard deviations of small homogeneous blocks in order to define respectively the average signal and the mean noise of the images. If the noise may be considered mainly addictive the local standard deviation may be considered as the mean noise of image. This method uses all the spatial information contained in the image scene giving a representative SNR of entire image. The technique has been engineered in IDL environment and applied to hyperspectral data of HYPER-SIMGA sensor, developed in the frame of AIRFIRE Project for wildfire detection by airborne remote sensing data. The SNR results point out that HYPER-SIMGA SWIR images are quite noisy and the spectral range that has to be taken into account for data analysis is from 1000 to 1700 nm.
    Description: Published
    Description: 1-18
    Description: 1.10. TTC - Telerilevamento
    Description: N/A or not JCR
    Description: open
    Keywords: Hypespectral SNR ; 05. General::05.01. Computational geophysics::05.01.01. Data processing ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
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