Stereo Radargrammetry Using Deep Learning from Airborne SAR Images
Journal:
arXiv
Published Date:
May 27, 2025
Abstract
In this paper, we propose a stereo radargrammetry method using deep learning
from airborne Synthetic Aperture Radar (SAR) images.Deep learning-based methods
are considered to suffer less from geometric image modulation, while there is
no public SAR image dataset used to train such methods.We create a SAR image
dataset and perform fine-tuning of a deep learning-based image correspondence
method.The proposed method suppresses the degradation of image quality by pixel
interpolation without ground projection of the SAR image and divides the SAR
image into patches for processing, which makes it possible to apply deep
learning.Through a set of experiments, we demonstrate that the proposed method
exhibits a wider range and more accurate elevation measurements compared to
conventional methods.
