Unsupervised SAR Image Segmentation Based on a Hierarchical TMF Model in the Discrete Wavelet Domain for Sea Area Detection
Unsupervised synthetic aperture radar (SAR) image segmentation is a fundamental preliminary processing step required for sea area detection in military applications. The purpose of this step is to classify large image areas into different segments to assist with identification of the sea area and th...
Saved in:
Main Authors: | Jiajing Wang, Shuhong Jiao, Lianyang Shen, Zhenyu Sun, Lin Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2014/354704 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
De muziekfabriek. TMF en de Nederlandse popcultuur
by: Jesper Verhoef
Published: (2024-12-01) -
Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features
by: Zeyu WANG, et al.
Published: (2022-12-01) -
Structure preserved ordinal unsupervised domain adaptation
by: Qing Tian, et al.
Published: (2024-11-01) -
Unsupervised domain adaptation teacher–student network for retinal vessel segmentation via full-resolution refined model
by: Kejuan Yue, et al.
Published: (2025-01-01) -
THERMO-MECHANICAL FATIGUE( TMF) BEHAVIOR OF CASTING Ti-48Al-2Cr-2Nb INTER-METALLIC ALLOY
by: ZHONG Bin, et al.
Published: (2020-01-01)