Predicting the Detectability of Thin Gaseous Plumes in Hyperspectral Images Using Basis Vectors

Sensors

Kevin K. Anderson¹  Mark F. Tardiff¹ 

[1] Pacific Northwest National Laboratory, PO Box 999, Richland, WA 99352, USA;

关键词: plume;    detection;    LWIR;    basis vectors;    NECL;   

DOI  :  10.3390/s100908652

来源: mdpi

【 摘 要 】

This paper describes a new method for predicting the detectability of thin gaseous plumes in hyperspectral images. The novelty of this method is the use of basis vectors for each of the spectral channels of a collection instrument to calculate noise-equivalent concentration-pathlengths instead of matching scene pixels to absorbance spectra of gases in a library. This method provides insight into regions of the spectrum where gas detection will be relatively easier or harder, as influenced by ground emissivity, temperature contrast, and the atmosphere. Our results show that data collection planning could be influenced by information about when potential plumes are likely to be over background segments that are most conducive to detection.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.