Deep learning-based Synthetic Aperture Radar (SAR) image despeckling
This report proposes a method of reducing the inherent speckled nature of synthetic aperture radar (SAR) images by integrating optically guided despeckled images with images despeckled using deep learning-based methods applied through a segmentation map utilizing deep learning-based model designated...
Saved in:
Main Author: | Sato, Shinya |
---|---|
Other Authors: | Teh Kah Chan |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/167038 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning-based algorithm for synthetic aperture radar despeckling
by: Wang, Yuxuan
Published: (2024) -
Mmwave synthetic aperture radar (SAR) imaging with denoising
by: Zhang, Di
Published: (2021) -
A synthetic aperture radar (SAR) on an unmanned aerial vehicle (UAV)
by: Li, Jie Ru
Published: (2015) -
MIMO synthetic aperture radar imaging
by: Wang, Luo.
Published: (2013) -
A study of synthetic aperture radar imaging with compressed sensing
by: Wen, Bihan., et al.
Published: (2013)