Vessel Detection in Synthetic Aperture Radar(SAR) Images

This tool allows the identification and tracking of marine vessels by geolocation, MMSI, or via MarineTraffic URLs. It ensures user privacy via proxy support, and includes fallback strategies for optimal performance.

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

In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.

Fast Vessel Detection.

This project implements a vessel detection system using VFNet with ResNet-18 as the backbone network. The framework is based on MMDet, a powerful open-source object detection toolbox. The goal of this project is to detect vessels in S-2 imagery and provide accurate bounding box predictions.

The goal of this project is to analyze the dynamics of small fishing vessel fleets and provide information to help policy-makers design legislation to prevent Illegal, Unreported, and Unregulated (IUU) fishing.

Algorithm for the fundus vessels of the eye detection. Implemented in Python.

Blood vessel detection in eye fundus (Computer Science in Medicine Course)