Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: High-resolution Coastline Extraction in SAR Images via MISP-GGD
  Superpixel Segmentation   High accuracy coastline/shoreline extraction from SAR imagery is a crucial
step in a number of maritime and coastal monitoring applications. We present a
method based on image segmentation using the Generalised Gamma Mixture Model
superpixel algorithm (MISP-GGD). MISP-GGD produces superpixels adhering with
great accuracy to object edges in the image, such as the coastline.
Unsupervised clustering of the generated superpixels according to textural and
radiometric features allows for generation of a land/water mask from which a
highly accurate coastline can be extracted. We present results of our proposed
method on a number of SAR images of varying characteristics.

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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: chem-ph
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The categories of this paper are: supr-con
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The categories of this paper are: ao-sci
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The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
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The categories of this paper are: funct-an
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The categories of this paper are: q-alg
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The categories of this paper are: hep-lat
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The categories of this paper are: alg-geom
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The categories of this paper are: stat
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The categories of this paper are: hep-ph