Thermal multispectral detection of military vehicles in vegetated and desert backgrounds

Autor:	Michael T. Eismann, Craig R. Schwartz, Jack N. Cederquist, Ray O. Johnson
Rok vydání:	1996
Předmět:	Computer science Multispectral image Hyperspectral imaging Remote sensing
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.243007
Popis:	Recent data collections using an infrared hyperspectral measurement system have provided a significant measurement database of military vehicles in vegetated and desert backgrounds. This paper summarizes the results of a study performed to assess the detection performance potential of multispectral sensors using this database. Specific issues addressed include approaches to optimal band selection; robustness of band combinations with target, background, and environment diversity; and sensor noise requirements. All of these issues are vital to assessing the feasibility and utility of infrared multispectral sensors in operational scenarios.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0e4c381cb0d240f7cedf416b29c57598 https://doi.org/10.1117/12.243007 Zobrazit plný text záznamu