cslearngo

models

Models and examples built with TensorFlow

techniques

Techniques for deep learning with satellite & aerial imagery

pyslam

pySLAM contains a Visual Odometry (VO) pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local features based on Deep Learning.

d2l-zh-pytorch-slides

Pytorch版代码幻灯片

cnngeometric_pytorch

CNNGeometric PyTorch implementation

cnn-matching

Source code and datadset for "Deep learning algorithm for feature matching of cross modality remote sensing images"

rfnet

RF-Net: An End-to-End Image Matching Network based on Receptive Field

SIFT3D

Analogue of the scale-invariant feature transform (SIFT) for three-dimensional images. Includes an image processing and linear algebra library with feature matching and RANSAC regression. Also includes IO functions supporting a variety of image formats.

CVPR21-Deep-Lucas-Kanade-Homography

A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021

awesome-multimodal-remote-sensing-classification

List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification

SAR_denoising

Denoising framework for SAR images (Synthetic Aperture Radar) based on the FFDNet. Final project of MVA course "Remote sensing data: from sensor to large-scale geospatial data exploitation"

Custom-made-SAR-speckle-reduction

Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.

Satellite-Imagery-to-Map-Translation-using-Pix2Pix-GAN-framework

PyTorch Implementation of Pix2Pix framework to train a U-Net with Generative Adversarial Network to map Satellite Imagery to an equivalent Map.

RISG-image-matching

A rotation invariant SuperGlue image matching algorithm.

SIFT

基于C++的基本库实现了SIFT特征提取与匹配, 无需调用如OpenCV的库函数. 从实现细节的角度介绍了SIFT算法流程. 代码很大程度地基于ezSIFT代码, 用于自学和理解SIFT算法.

ScaleRatioICP

Scale Ratio ICP for 3D Point Clouds with Different Scales

MS-PIIFD_registration

A feature-based registration algorithm for multi-source images

remote-sensing-images-registration-dataset

remote sensing images registration dataset

Fast-Feature-Pyramids-for-Object-Detection

undergraduate work

semantictemplatematching

Multi-Step-Deformable-Registration

multiscale-attention-patch-matching

Multitemporal-SAR-image-denoising

RABASAR

Histogram-of-Oriented-Gradients-HOG

This algorithm counts occurrences of gradient orientation in localized portions of an image and visualize it in an image.

OS-Eval

Multi-Scale-Unsupervised-Framework-MSUF

RIFT

A c++ implementation of RIFT.

neptune

A unified codebase, developed in TensorFlow 2, for a collection of deep neural networks for matching, segmenting and translating acoustic and satellite images.

BlobDetect

Blob Detection with scale-invariant features by analysing of scale-space maxima

LoFTR

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