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Analysis of ship detection performance with full-, compact- and dual-polarimetric SAR

  • Chenghui Cao
  • , Jie Zhang
  • , Junmin Meng
  • , Xi Zhang
  • , Xingpeng Mao*
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Ministry of Industry and Information Technology
  • Ministry of Natural Resources of the People's Republic of China

Research output: Contribution to journalArticlepeer-review

Abstract

Polarimetric synthetic aperture radar (SAR) is currently drawing more attention due to its advantage in Earth observations, especially in ship detection. In order to establish a reliable feature selection method for marine vessel monitoring purposes, forty features are extracted via polarimetric decomposition in the full-polarimetric (FP), compact-polarimetric (CP), and dual-polarimetric (DP) modes. These features were comprehensively quantified and evaluated using the Euclidean distance and mutual information, and the result indicated that the features in CP SAR are better than those of FP or DP SAR in general. The CP SAR features are thus further studied, and a new feature, named phase factor, in CP SAR mode is presented that can distinguish ships and the sea surface by the constant 0 without complex calculation. Furthermore, the phase factor is independent of the sea surface roughness, and hence it performs stably for ship detection even in high sea states. Experiments demonstrated that the ship detection performance of the phase factor detector is better than that of roundness, delta, HESA and CFAR detectors in low, medium and high sea states.

Original languageEnglish
Article number2160
JournalRemote Sensing
Volume11
Issue number18
DOIs
StatePublished - 1 Sep 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Euclidean distance
  • Mutual information
  • New feature
  • Polarimetric SAR
  • Polarimetric decomposition
  • Ship detection

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