Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches

Autor:	Steven E. Golowich, Robert S. DiPietro, Dimitris G. Manolakis
Rok vydání:	2014
Předmět:	Chemical Warfare Agents Signal processing Long wave infrared Remote sensing (archaeology) Infrared Applied Mathematics Signal Processing Hyperspectral imaging Environmental science Electrical and Electronic Engineering Image sensor Focus (optics) Remote sensing
Zdroj:	IEEE Signal Processing Magazine. 31:120-141
ISSN:	1558-0792 1053-5888
DOI:	10.1109/msp.2013.2294804
Popis:	Many military and civilian applications depend on the ability to remotely sense chemical agent (CA) clouds, from detecting small but lethal concentrations of chemical warfare agents (CWAs) to mapping plumes in the aftermath of natural disasters. Hyperspectral imaging sensors, in the long-wave infrared (IR) (LWIR) part of the spectrum, are particularly well suited for these gas-sensing tasks. Their wide fields of view allow many square kilometers to be imaged almost simultaneously, and their high spectral resolutions often allow the detection of chemical clouds even when they are optically thin (or nearly transparent).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c63a94419bb1da149f96ddf05931f231 https://doi.org/10.1109/msp.2013.2294804 Zobrazit plný text záznamu