Multiscale Feature-Enhanced Water Body Detector of Truncated Gaussian Clutter in SAR Imagery
This article presents a multiscale feature-enhanced water detector using truncated Gaussian clutter (TGCFeWD) for synthetic aperture radar (SAR) imagery. It aims to improve detection accuracy through adaptive elimination of high-intensity outliers and shadows. High-intensity outliers cause overestim...
Saved in:
Main Authors: | Bo Zhu, Yuli Xia, Yongsheng Zhou, Xiaoning Lv, Minqin Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10816489/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DEPDet: A Cross-Spatial Multiscale Lightweight Network for Ship Detection of SAR Images in Complex Scenes
by: Jing Zhang, et al.
Published: (2024-01-01) -
Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR
by: Yifan Wu, et al.
Published: (2025-01-01) -
Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance
by: Xianen Wei, et al.
Published: (2025-01-01) -
Multiple extended target tracking by truncated JPDA in a clutter environment
by: Qinlei Li, et al.
Published: (2021-05-01) -
Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis
by: R. J. Jerin Joe, et al.
Published: (2025-01-01)