A mirror of the Linux version of PolSARPro

General purpose Synthetic Aperture Radar (SAR) postprocessing software package

A pypi package to process Synthetic Aperture Radar data.

This is the official implementation of CVPR2023 paper “Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer”

Content-Aware Unsupervised Deep Homography Estimation

The unofficial implementation of the paper Deep Image Homography Estimation.

Pose estimation pipeline for 3D Reconstruction using LoFTR (Local Feature Transformer) detector free feature matcher.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Code for CVPR2023 paper:Adaptive Assignment for Geometry Aware Local Feature Matching

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

Conditional Deformable Image Registration with Convolutional Neural Network

Aligning and Updating Cadaster Maps with Remote Sensing Images

Dense matching library based on PyTorch

Simple function for generating affine geometric augmentations on images and bounding boxes.

Official implementation of the paper GLU-Net (CVPR2020-Oral)

Ampcor (Cross-correlation) with CUDA

SAR despeckling codes for SAR-DCNN, SAR-PNP and SAR-RDCP

The testing code for MONet trained with three different dataset is provided

SAR dataset for despeckling, including actual SAR images and ground truth.

A list of resources to get you started with Deep Learning based despeckling of Synthetic Aperture Radar(SAR) images

[IEEE JSTARS] Official PyTorch Implementation of "SAR Image Despeckling Using Continuous Attention Module"

SAR image despeckling through convolutional neural networks

Block subspace filter for removing radio interference artefacts in SAR images

A Google Earth Engine tool for identifying satellite radar interference.