A Preliminary Study Using Granular Computing for Remote Sensing Image Segmentation Involving Roughness

Granular computing partitions the universe into granules, allowing for their further analysis. For several years granular computing has been used to address problems in the field of machine learning, image analysis and data mining. In this paper, we discuss the application of granular computing to remote sensing image segmentation. A granule merging algorithm involving roughness is proposed.

[1]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[2]  Z. Pawlak.  Granularity of knowledge, indiscernibility and rough sets , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[3]  Sankar K. Pal,et al.  Generalized Rough Sets, Entropy, and Image Ambiguity Measures , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[4]  Jerzy W. Grzymala-Busse,et al.  Transactions on Rough Sets I , 2004, Lecture Notes in Computer Science.

[5]  Jerzy W. Grzymala-Busse,et al.  Rough Sets , 1995, Commun. ACM.

[6]  Yiyu Yao,et al.  A Granular Computing Approach to Machine Learning , 2002, FSKD.

[7]  Zdzislaw Pawlak,et al.  Some Issues on Rough Sets , 2004, Trans. Rough Sets.

[8]  L. Zadeh,et al.  Data mining, rough sets and granular computing , 2002 .

[9]  Jingtao Yao,et al.  A granular computing framework for self-organizing maps , 2009, Neurocomputing.

[10]  Vladik Kreinovich,et al.  Handbook of Granular Computing , 2008 .

[11]  Witold Pedrycz,et al.  Granular computing: an introduction , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[12]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[13]  Sankar K. Pal,et al.  A review on image segmentation techniques , 1993, Pattern Recognit..

[14]  Yiyu Yao,et al.  A Unified Framework of Granular Computing , 2008 .

[15]  J. Schiewe,et al.  SEGMENTATION OF HIGH-RESOLUTION REMOTELY SENSED DATA - CONCEPTS, APPLICATIONS AND PROBLEMS , 2002 .

[16]  Aggelos K. Katsaggelos,et al.  Hybrid image segmentation using watersheds and fast region merging , 1998, IEEE Trans. Image Process..

[17]  U. Benz,et al.  Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .

[18]  JingTao Yao.  A Ten-year Review of Granular Computing , 2007 .

[19]  Yiyu Yao,et al.  In Search of Effective Granulization with DTRS for Ternary Classification , 2011, Int. J. Cogn. Informatics Nat. Intell..

[20]  Jayaram K. Udupa,et al.  A framework for comparing different image segmentation methods and its use in studying equivalences between level set and fuzzy connectedness frameworks , 2011, Comput. Vis. Image Underst..