Maximum likelihood registration of dissimilar sensors

Autor:	D.W. McMichael, N. Okello
Rok vydání:	2002
Předmět:	Signal processing Geography Estimation theory business.industry Maximum likelihood Coordinate system Information processing Pattern recognition Artificial intelligence Tracking (particle physics) business Sensor fusion
Zdroj:	Proceeding of 1st Australian Data Fusion Symposium.
DOI:	10.1109/adfs.1996.581077
Popis:	A generalised registration technique based on mixed-mode measurements from two or more spatially distributed sensors is presented. The algorithm outputs include maximum likelihood estimates of (i) registration parameters, (ii) registered sensor measurements and (iii) registered target location estimates expressed in a common coordinate system. Numerical results are presented for two sensors with fixed but unknown measurement biases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f4beda53ef4bac09c25fd267173627a3 https://doi.org/10.1109/adfs.1996.581077 Zobrazit plný text záznamu