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Journal ArticleOPEN ACCESS

A Novel Sea-Land Segmentation Algorithm Based on Local Binary Patterns for Ship Detection

  • Xia Y
  • Wan S
  • Jin P
  • et al.
International Journal of Signal Processing, Image Processing and Pattern Recognition (2014) 7(3) 237-246
DOI: 10.14257/ijsip.2014.7.3.19
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Abstract

The article presents a study which shows the integration of local binary patterns (LBP) feature information to a novel sea-land segmentation algorithm. The application of ship detection to optical remote sensing image processing is mentioned. The assessment of the performance of ship detection in terms of precision and false-alarm-rate is also cited.

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APA

Xia, Y., Wan, S., Jin, P., & Yue, L. (2014). A Novel Sea-Land Segmentation Algorithm Based on Local Binary Patterns for Ship Detection. International Journal of Signal Processing, Image Processing and Pattern Recognition, 7(3), 237–246. https://doi.org/10.14257/ijsip.2014.7.3.19

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