Segmentation of multispectral remote sensing images using active support vector machines

@article{Mitra2004SegmentationOM,
  title={Segmentation of multispectral remote sensing images using active support vector machines},
  author={P. Mitra and B. U. Shankar and S. Pal},
  journal={Pattern Recognit. Lett.},
  year={2004},
  volume={25},
  pages={1067-1074}
}
  • P. Mitra, B. U. Shankar, S. Pal
  • Published 2004
  • Computer Science
  • Pattern Recognit. Lett.
  • The problem of scarcity of labeled pixels, required for segmentation of remotely sensed satellite images in supervised pixel classification framework, is addressed in this article. A support vector machine (SVM) is considered for classifying the pixels into different landcover types. It is initially designed using a small set of labeled points, and subsequently refined by actively querying for the labels of pixels from a pool of unlabeled data. The label of the most interesting/ ambiguous… CONTINUE READING
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