A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.
Introduction, J. Shen et al; 3D articulated object understanding, learning and recognition from 2D images, P.S.P. Wang; on geometric and orthogonal moments, J. Shen et al; multispectral image processing - the nature factor, W.R. Watkins; detection of sea surface small targets in infrared images based on multilevel filter and minimum risk Bayes test, Y.-S. Moon et al; minimum description length method for facet matching, S. Maybank and R. Fraile; an integrated vision system for ALV navigation, X. Ye et al; fuzzy Bayesian networks - a general formalism for representation, inference and learning with hybrid Bayesian networks, H. Pan and L. Liu; extraction of bibliography information based on image of book cover, H. Yang et al; radar target recognition based on parametrized high resolution range profiles, X. Liao and Z. Bao.