Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning

A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box

An implementation of the paper SAR Image Despeckling Using a Convolutional Neural Network by Puyang Wang,

Automatic ship detection with ESA Sentinel-1 SAR imagey.

A project task from Suhora (Space Analytics) company

Python code to add speckle noise

Reduction of speckle noise using denoising autoencoder

This will help you to remove the speckle noise from SAR imagery using U-Net

Different Faster R-CNN models implemented to solve sar ship detection

Ship Detection in SAR Images: A repository for analyzing, training, and testing ship detection models using Synthetic Aperture Radar (SAR) images.