Acta Photonica Sinica, Volume. 39, Issue 7, 1289(2010)
An EM-MAP-HMRF Multi-sensor Image Fusion Algorithm Based on Non-homogeneous Class and Direction
In order to improve the target identification, Markov random field (MRF) is introduced in the target fusion process to build prior probability model of a class. Then aiming at selecting model parameter β, an EM-MAP-HMRF feature-level fusion algorithm is proposed based on non-homogeneous class and direction. HMRF is divided into centric and distributed-based fusion schemes. The simulations show that the two new fusion algorithms can improve the classification accuracy, and enhance the ability to anti-interference. However, they have different advantages. The two new schemes can be used in various fusion systems for different applications and improve the effectiveness of detection and identification for specific targets.
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HE Gui-qing, PENG Jin-ye, HAO Chong-yang. An EM-MAP-HMRF Multi-sensor Image Fusion Algorithm Based on Non-homogeneous Class and Direction[J]. Acta Photonica Sinica, 2010, 39(7): 1289
Received: Nov. 24, 2008
Accepted: --
Published Online: Aug. 31, 2010
The Author Email: Gui-qing HE (guiqing_he@nwpu.edu.cn)
CSTR:32186.14.