A thumbnail-based hierarchical fuzzy clustering algorithm for SAR image segmentation

Research output: Contribution to journalArticlepeer-review

Authors

  • Ronghua Shang
  • Chen Chen
  • Guangguang Wang
  • Licheng Jiao
  • Michael Aggrey Okoth

Colleges, School and Institutes

Abstract

This paper proposes a novel algorithm for segmentation of synthetic aperture radar (SAR) image, our proposed algorithm (THFCM) is based on thumbnail representations and a hierarchical fuzzy C-means (FCM) approach. THFCM firstly divides the image into pixel groups to extract local feature, and the major pixels of each pixel group are selected to construct a thumbnail. FCM is then used to segment each thumbnail, and hierarchical segmentation is then performed on the overall image data, based on the results of thumbnail clustering. The thumbnail approach leverages local image information, helping to overcome speckle noise, while the hierarchical approach improves computational efficiency. Experiments on simulated and real SAR images suggest that THFCM outperforms several other state-of-the-art algorithms in terms of both segmentation accuracy and running time.

Details

Original languageEnglish
Article number107518
Pages (from-to)1-15
Number of pages15
JournalSignal Processing
Volume171
Early online date2 Feb 2020
Publication statusPublished - Jun 2020