Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels

Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels

In recent years, regional algorithms have shown great potential in the field of synthetic aperture radar (SAR) image segmentation. However, SAR images have a variety of landforms and a landform with complex texture is difficult to be divided as a whole. Due to speckle noise, traditional over-segment...

Full description

Bibliographic Details
Main Authors: Ronghua Shang, Pei Peng, Fanhua Shang, Licheng Jiao, Yifei Shen, Rustam Stolkin
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
SAR image segmentation
texture complexity analysis
NISLIC
key superpixels
fuzzy clustering
Online Access:https://www.mdpi.com/2072-4292/12/13/2141

Internet

https://www.mdpi.com/2072-4292/12/13/2141

Similar Items