Oct 12, 2018 · This paper presents a fast learning algorithm for SAR image mosaic based on machine learning. Using machine learning method, a binary classifier ...
The improved algorithm uses machine learning methods to build a binary classifier that identifies the key feature points in the SURF extracted feature points ...
An improved algorithm for SURF is proposed to realize the fast splicing of SAR image and has strong real-time performance and robustness, and improves the ...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.
May 9, 2023 · An effective image stitching algorithm based on color difference and an improved KAZE with a fast guided filter is proposed.
May 31, 2024 · Our contribution can be summarized as a multiple-constraint corner matching process and the resultant faster image stitching. The traditional ...
Deep learning algorithms have been applied to target detection in SAR images and have achieved important results in coastline detection (Cheng et al., 2017; ...
Aug 29, 2022 · This paper described the characteristics of SAR imagery, the limitations related to it, and a small set of available databases. Comprehensive ...
Further, we propose a fast template matching method to achieve the fine co-registration of coarsely registered optical and SAR images.
Simulation results show that proposed image mosaic method can achieve good performance for images with small overlap region, large deformation, ...