ML Anthology

Extracting Spatially and Spectrally Coherent Regions from Multispectral Images

Farhana Bandukwala
CVPRW 2011 pp. 82-87
doi:10.1109/CVPRW.2011.5981786 /cvprw/2011/bandukwala2011cvprw-extracting/

Abstract

Extracting spectrally homogeneous regions as features from hyperspectral and multispectral raster data has unique challenges when accurate shape preservation is a priority. We tackle this task by representing neighborhoods that contain heterogeneously classified pixels as a graph. We then use graph-cut based combinatorial optimization to eliminate spuriously classified pixels. After the region of interest is uniformly classified, we use a vectorization step to extract it as a feature.

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Cite

Text

Bandukwala. "Extracting Spatially and Spectrally Coherent Regions from Multispectral Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981786

Markdown

[Bandukwala. "Extracting Spatially and Spectrally Coherent Regions from Multispectral Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/bandukwala2011cvprw-extracting/) doi:10.1109/CVPRW.2011.5981786

BibTeX

@inproceedings{bandukwala2011cvprw-extracting,
  title     = {{Extracting Spatially and Spectrally Coherent Regions from Multispectral Images}},
  author    = {Bandukwala, Farhana},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2011},
  pages     = {82-87},
  doi       = {10.1109/CVPRW.2011.5981786},
  url       = {https://mlanthology.org/cvprw/2011/bandukwala2011cvprw-extracting/}
}