Classification of Multispectral satellite images

@article{Kar2013ClassificationOM,
  title={Classification of Multispectral satellite images},
  author={S. C. Kar and Vishakha Vivek Kelkar},
  journal={2013 International Conference on Advances in Technology and Engineering (ICATE)},
  year={2013},
  pages={1-6}
}
This paper is a review of classification of remote sensed Multispectral satellite images. Texture is the frequency of tonal changes on the image. The texture gives the `rough' or `smooth' appearance of the image. Higher resolution causes higher spectral variability within a class and lessens the statistical separability among different classes in a traditional pixel-based classification. Several methods of image classification exist and a number of fields apart from remote sensing like image… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Evaluation of incorporating texture into wetland mapping from multispectral images

C. M. R. Caridade
EARSeL eProceedings • 2004

The contribution of the sources separation method in the decomposition of mixed pixels

J. F. Cardoso
IEEE Trans . Geosci . Remote Sens . • 2004

Quelques applications de l ’ analyse en composantes indépendantes en imagerie hyperspectrale

M. S. Naceur, M. A. Loghmari, M. R. Boussema
Journée Action Spécifique Séparation de Sources • 2003

A method for the segmentation of very high spatial resolution images of forested landscapes

B. Kartikeyan
Int . J . Remote Sens . • 2002

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