Accuracy of imaging spectroscopy for geologic material identification: analysis of noise effects

Maria A. Sgavetti; Alessandra Gaibazzi; Ilaria Longhi; Sandro Meli; Claudia Giardino; Rosanna Capelletti; Andrea Baraldi; Marco Crotti

doi:10.1117/12.453672

23 January 2002 Accuracy of imaging spectroscopy for geologic material identification: analysis of noise effects

Maria A. Sgavetti, Alessandra Gaibazzi, Ilaria Longhi, Sandro Meli, Claudia Giardino, Rosanna Capelletti, Andrea Baraldi, Marco Crotti

Author Affiliations +

Proceedings Volume 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology; (2002) https://doi.org/10.1117/12.453672
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

Noisy spectra were simulated from laboratory 2000-2500 nm reflectance spectra of polymineralic sand samples and synthetic composite spectra, using MIVIS calibration parameters and measured solar irradiance both with and without diffuse atmospheric radiance at the sensor. Noise content variation in output data with varying sensor parameters and atmospheric conditions was analysed, as well as noise effects in spectral feature identification. Scaled random noise with a normal distribution was added to the convolved spectra. The rms of the ratio of noisy to original spectra is assumed to represent noise content in output data. Noise content variation with SNR is expressed by a set of curves with a significant dispersion of noisy spectra for low SNRs. For individual SNRs, noise content has an inverse linear relationship with sample albedo. Data dispersion occurs when noise content is compared with reflectance contrast and band depth. No clear relationship resulted for noisy to original spectra match values or noisy spectra classification probability with either band depth or band depth referred noise, due to spectra aliases.

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Maria A. Sgavetti, Alessandra Gaibazzi, Ilaria Longhi, Sandro Meli, Claudia Giardino, Rosanna Capelletti, Andrea Baraldi, and Marco Crotti "Accuracy of imaging spectroscopy for geologic material identification: analysis of noise effects", Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); https://doi.org/10.1117/12.453672

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