Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2014, Pages 1976-1984

  Mylonas, Stelios K ^a   Stavrakoudis, Dimitris G ^a   Theocharis, John B ^a   Mastorocostas, Paris A ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF SERRES   (Greece)

Author keywords

Genetic Algorithms; Hyperspectral Images; Image Segmentation; spectral spatial Classification; Watershed transform

Indexed keywords

FEATURE EXTRACTION; FUZZY SYSTEMS; GENETIC ALGORITHMS; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; ITERATIVE METHODS; PIXELS; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES; WATERSHEDS;

CLASSIFICATION RESULTS; LAND COVER CLASSIFICATION; SEGMENTATION ALGORITHMS; SEQUENTIAL IMAGE SEGMENTATION; SPECTRAL-SPATIAL CLASSIFICATION; UNSUPERVISED FUZZY CLUSTERING; UNSUPERVISED SEGMENTATION; WATERSHED TRANSFORM;

IMAGE SEGMENTATION;

EID: 84912554806     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZ-IEEE.2014.6891620     Document Type: Conference Paper

References (15)

1. K. S. Fu and J. K. Mui, "A survey on image segmentation ", Pattern Recognition, vol. 13, pp. 3-16, 1981.
2. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, " Segmentation and classification of hyperspectral images using watershed transformation" , Pattern Recognition, vol. 43, pp. 2367-2379, 2010.
3. D. Li, G. Zhang, Z. Wu, and L. Yi, "An edge embedd ed marker-based watershed algorithm for high spatial resolution remote sensing image segmentation," IEEE Trans. Image Process., vol. 19, no. 10, pp. 2781-2787, Oct. 2010.
4. S. Derivaux, G. Forestier, C. Wemmert, and S. Lefevre, " Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation," Pattern Recognit. Lett., vol 31, pp. 2364-2374, 2010.
5. S. Makrogiannis, G. Economou, and S. Fotopoulos, " Region dissimilarity relation that combines feature-space and spatial information for color image segmentation," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 35, no. 1, pp. 44-53, Feb. 2005.
6. S. K. Mylonas, D. G. Stavrakoudis, and J. B. Theocharis, " A GA-based sequential fuzzy segmentation approach for classification of remote sensing images," in IEEE Int. Conf. Fuzzy Systems, pp. 1-8, June 2012.
7. S. K. Mylonas, D. G. Stavrakoudis, and J. B. Theocharis, "GeneSIS: a GA-based fuzzy segmentation algorithm for remote sensing images, " Knowledge-Based Systems, v ol. 54, pp. 86-102, Dec. 2013.
8. A.N. Evans and X.U. Liu, "A morphological gradient approach to color edge detection, " IEEE Trans. Image Process., vol. 15, no. 6, pp. 1454-1463, June 2006.
9. K. Haris, N. Efstratiadis, N. Maglaveras, and A. K. Katsaggelos, " Hybrid image segmentation using watersheds and fast region merging," IEEE Trans. Image Process., vol. 7, no. 12, pp. 1684-1699, Dec. 1998.
10. F. Meyer, "Topographic distance and watershed lines, " Signal Processing, vol. 38, pp. 113-125, 1994.
11. S.-B. Cho and J. H. Kim, "Multiple network fusion using fuzzy logic, " IEEE Trans. Neural Netw., vol. 6, no. 2, pp. 497-501, Mar. 1995.
12. Y. Tarabalka, J. C. Tilton, J. A. Benediktsson, and J. Chanussot, " A marker-based approach for the automated selection of a single segmentation from a hierarchical set of image segmentations, " IEEE J. Sel. Topics Appl. Earth Observ., vol. 5, no. 1, pp. 262-272, Feb. 2012.
13. S. P. Moustakidis, G. Mallinis, N. Koutsias, and J. B. Theocharis, " SVM-based fuzzy decision trees for classification of high spatial resolution remote sensing images," IEEE Trans. Geosci. Remote Sensing, vol. 50, no. 1, pp.149-169, Jan. 2012.
14. A. Jensen and A. Solberg, "Fast hyperspectral feature reduction using piecewise constant function approximations, " IEEE Geosci. Remote Sens. Lett., vol. 4, no 4, pp. 547-551, Oct. 2007.
15. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, " Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers, " IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 5, pp. 1267-1279, Oct. 2010.