Geodesic
Multispectral images segmentation algorithm
Matematičeskoe modelirovanie, Tome 36 (2024) no. 1, pp. 25-40

Voir la notice de l'article provenant de la source Math-Net.Ru

Multispectral images segmentation algorithm is presented. First, preliminary estimation of segments number is obtained. Second, image is decomposed into segments by non-iterative version of the k-means method. Third, statistical analysis is carried out; couples of segments which are realizations of the same random vector are found and merged. The results of testing algorithm on model and real (sensor HYPERION) data are presented. Real images segmentations where segments correspond to the different elements of the landscape are given.
Mots-clés : data segmentation, multispectral data. 
@article{MM_2024_36_1_a2,
     author = {O. V. Nikolaeva},
     title = {Multispectral images segmentation algorithm},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {25--40},
     publisher = {mathdoc},
     volume = {36},
     number = {1},
     year = {2024},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2024_36_1_a2/}
}
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O. V. Nikolaeva. Multispectral images segmentation algorithm. Matematičeskoe modelirovanie, Tome 36 (2024) no. 1, pp. 25-40. http://geodesic.mathdoc.fr/item/MM_2024_36_1_a2/