Ship Detection Based on Superpixelwise Local Contrast Measurement for PolSAR Images
- Resource Type
- Conference
- Authors
- Li, Tao; Peng, Dongliang; Guo, Baofeng; Chen, Zhikun; Fang, Feng
- Source
- IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2020 - 2020 IEEE International. :774-777 Sep, 2020
- Subject
- Aerospace
Computing and Processing
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Marine vehicles
Radar polarimetry
Object detection
Clutter
Image segmentation
Sea measurements
Detectors
superpixel segmentation
local contrast measurement
ship detection
polarimetric synthetic aperture radar (PoISAR)
- Language
- ISSN
- 2153-7003
To reduce the influence of speckle noise on the pixel-level target detection method, a novel ship detection method is proposed for polarimetric synthetic aperture radar (PoISAR) images based on superpixelwise local contrast measurement. In the proposed method, superpixels are firstly generated based on the improved simple linear iterative clustering (SLIC) method for polarimetric SAR image. Then the local contrast measurement is calculated between a certain superpixel and its neighborhood superpixels to enhance the discriminability between ship targets and clutter background. Thus, better target detection performance can be obtained. The effectiveness of the proposed method can be demonstrated by experiments on both quad-polarized and dual-polarized real SAR images.