A maximum likelihood approach to joint image registration and fusion

IEEE Transactions on Image Processing

Volumn 20, Issue 5, 2011, Pages 1363-1372

  Chen, Siyue ^a,b   Guo, Qing ^c   Leung, Henry ^b   Bossé, Éloi ^d  

^a Complex System Inc ^*  (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

^d DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER   (Canada)

Author keywords

Affine transformation; expectation maximization; image fusion; image registration; multisensor images

Indexed keywords

AFFINE TRANSFORMATIONS; EDGE PRESERVATIONS; ESTIMATION PROBLEM; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; FUSION PERFORMANCE; HYPER-SPECTRAL IMAGES; JOINT OPTIMIZATION; LAPLACIAN PYRAMID; MAXIMUM LIKELIHOOD APPROACHES; MULTI SENSOR IMAGES; PERFORMANCE EVALUATION; REGISTRATION ACCURACY; SENSORY IMAGES; THERMAL IMAGES; VISUAL IMAGE;

ALGORITHMS; CRAMER-RAO BOUNDS; IMAGE REGISTRATION; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; OPTIMIZATION; PARAMETER ESTIMATION;

IMAGE FUSION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; IMAGE ENHANCEMENT; IMAGE PROCESSING; METHODOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LIKELIHOOD FUNCTIONS; PATTERN RECOGNITION, AUTOMATED;

EID: 79955418904     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2090530     Document Type: Article

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