Leveraging mixed data sources for enhanced road segmentation in synthetic aperture radar images
In this study, we tackle the task of road segmentation from Synthetic Aperture Radar (SAR) imagery, which is vital for remote sensing applications including urban planning and disaster management. Despite its significance, SAR-based road segmentation is hindered by the scarcity of high-resolution, a...
Saved in:
Main Authors: | Lan, Tian, He, Shuting, Qing, Yuanyuan, Wen, Bihan |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/180516 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Rapid flood and damage mapping using synthetic aperture radar in response to Typhoon Hagibis, Japan
by: Tay, Cheryl Wen Jing, et al.
Published: (2020) -
Synthetic aperture radar image process and analysis
by: Wen, Bihan
Published: (2013) -
A study of synthetic aperture radar imaging with compressed sensing
by: Wen, Bihan.
Published: (2012) -
A study of synthetic aperture radar imaging with compressed sensing
by: Wen, Bihan., et al.
Published: (2013) -
MIMO synthetic aperture radar imaging
by: Wang, Luo.
Published: (2013)