Integrated visible to near infrared, short wave infrared, and long wave infrared spectral analysis for surface composition mapping near Mountain Pass, California

Meryl L. McDowell; Fred A. Kruse

doi:10.1117/12.2176871

21 May 2015 Integrated visible to near infrared, short wave infrared, and long wave infrared spectral analysis for surface composition mapping near Mountain Pass, California

Meryl L. McDowell, Fred A. Kruse

Author Affiliations +

Proceedings Volume 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI; 94721C (2015) https://doi.org/10.1117/12.2176871
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

We have developed new methods for enhanced surface material identification and mapping that integrate visible to near infrared (VNIR, ~0.4 – 1 μm), short wave infrared (SWIR, ~1 – 2.5 μm), and long wave infrared (LWIR, ~8 – 12 μm) multispectral and hyperspectral imagery. This approach produces a single map of surface composition derived from the full spectral range. We applied these methods to a spectrally diverse region around Mountain Pass, CA. A comparison of the integrated results with those obtained from analyzing the spectral ranges individually reveals compositional information not exhibited by the VNIR, SWIR or LWIR data alone. We also evaluate the benefit of hyperspectral rather than multispectral LWIR data for this integrated approach.

Citation Download Citation

Meryl L. McDowell and Fred A. Kruse "Integrated visible to near infrared, short wave infrared, and long wave infrared spectral analysis for surface composition mapping near Mountain Pass, California", Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94721C (21 May 2015); https://doi.org/10.1117/12.2176871

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