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.
Original language | English |
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Article number | 107518 |
Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Signal Processing |
Volume | 171 |
Early online date | 2 Feb 2020 |
DOIs | |
Publication status | Published - Jun 2020 |
Keywords
- Fuzzy C-means
- Neighborhood information
- SAR image segmentation
- Speckle phenomenon
- Thumbnail
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering