VISUAL AND SPATIAL ANALYSIS:
Advances in Data Mining,
Reasoning and Problem Solving

Conflation of images with algebraic structures
Boris Kovalerchuk, James Schwing, William Sumner, and Richard Chase

    Chapter 19 References

    ·          Brown, L. A Survey of Image Registration Techniques, ACM Computing Surveys,vol.24 (4), pp. 325--376, 1992

    ·          Carswell J., Wilson, D., Bertolotto, M., Digital Image Similarity for Geo-spatial Knowledge Management, in Advances in Case-based Reasoning, Springer-Verlag, Berlin, 2002

    ·          Cobb, M., Chung, M., Foley, H., Petry. F., Shaw, K.,  and Miller, H., A rule-based approach for the conflation of attributed vector data, GeoInformatica, 2/1, 1998, 7-36

    ·          Cohen S., Guibas, L., Partial Matching of Planar Polylines under Similarity Transformations. Proceedings of the Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 777-786, January 1997

    ·          Kovalerchuk B., Sumner W., Algebraic relational approach to conflating images, In: Algorithms and technologies for multispectral, hyperspectral and ultraspectral imagery IX. Vol. 5093, International SPIE Military and Aerospace symposium, AEROSENSE, Orlando, FL., Apr.21-25, 2003, pp. 621-630.

    ·          Kovalerchuk B., Sumner W., Curtis. M., Kovalerchuk, M., Chase, R Matching image feature structures using shoulder analysis method, In: Algorithms and technologies for multispectral, hyperspectral and ultraspectral imagery X. SPIE Defense and Security symposium, Orlando, FL., Orlando, FL., April 11-16 2004

    ·          Mal’cev A.I. Algebraic Systems, Springer-Verlag, New York, 1973

    ·          Neapolitan R., Naimipour K. Foundation of algorithms using C++ pseudocode. Jones and Bartlett Publ., 1998

    ·          Zitová T., Flusser J., Image registration methods: a survey, Image and Vision Computing. 21 (11), 2003, pp. 977-1000

Back
 

Home

Overview

Table of Contents

Preface

Authors List

Links Page

Publisher Flyer

Springer (Buying Info)

Amazon.com (Buying Info)