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This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datas…
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
Dense matching library based on PyTorch
Deformable Image Registration Based on High-Order Markov Random Field
Using Deep learning to locate the Synthetic Aperture Radar(SAR) images to the counterpart of Optical images.
implementation of "Matching local self-similarities across images and videos"
remote sensing images registration dataset
Datasets for deep learning with satellite & aerial imagery
A curated list of resources for Learning with Noisy Labels
[CVPR 2025] Official implementation for the paper "RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark".
A Foundation Model for SAR Target Recognition
A general cross-modal/source image matching algorithm
PPT plugin, supports one-click to add image titles, copy and paste positions, one-click image alignment, and one-click to insert Markdown (including bold, hyperlinks, and other inline styles, as we…
An image registration method using convolutional neural network features.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
Matlab code of machine learning algorithms in book PRML
Deep Learning-based Image Fusion: A Survey
[IJCV-2025] Collective Migration-Inspired Large-Deformation Compensation for Nonrigid Image Registration
This project focuses on development of an algorithm for Template Matching on aerial images by implementing classical Computer Vision based techniques and deep-learning based techniques.
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
Bibliographic list for papers of image matching
Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.
DeepDEM: Digital Elevation Model refinement using deep learning
Interferogram denoising neural network
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.