Paper
25 October 2016 New generation VNIR/SWIR/TIR airborne imaging spectrometer
Yueming Wang, Liqin Wei, Liyin Yuan, Chunlai Li, Gang Lv, Feng Xie, Guicheng Han, Rong Shu, Jianyu Wang
Author Affiliations +
Proceedings Volume 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology; 101560Q (2016) https://doi.org/10.1117/12.2245541
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
Imaging spectrometer plays an important role in the remote sensing application. Imaging spectrometer can collects and provides a unique spectral signature of many materials. The spectral signature may be absorbing, reflecting, and emitting. Generally, optical spectral bands for earth observing consist of VNIR, SWIR, TIR/LWIR. VNIR band imaging spectrometer is well-known in vegetation remote sensing and ocean detection. SWIR band imaging spectrometer is widely applied in mineralogy investigation. For its uniquely capability of spectral radiance measurement, TIR/LWIR imaging spectrometer attracts much attention these years. This paper will present a new generation VNIR/SWIR/TIR imaging spectrometer. The preliminary result of its first flight will also be shared. The spectral sampling intervals of VNIR/SWIR/TIR are 2.4nm/3nm/30nm, respectively. The spatial pixel numbers are 2800/1400/700,respectively. It’s a push-broom imaging spectrometer.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yueming Wang, Liqin Wei, Liyin Yuan, Chunlai Li, Gang Lv, Feng Xie, Guicheng Han, Rong Shu, and Jianyu Wang "New generation VNIR/SWIR/TIR airborne imaging spectrometer", Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101560Q (25 October 2016); https://doi.org/10.1117/12.2245541
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Cited by 8 scholarly publications.
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KEYWORDS
Spectroscopy

Airborne remote sensing

Hyperspectral imaging

Remote sensing

Short wave infrared radiation

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