debasis-dotcom / Ship-Detection-from-Satellite-Images-using-YOLOV4Links
Ship detection from remote sensing imagery is a crucial application for maritime security which includes among others traffic surveillance, protection against illegal fisheries, oil discharge control and sea pollution monitoring. This is typically done through the use of an Automated Identification System (AIS), which uses VHF radio frequencies …
☆37Updated 4 years ago
Alternatives and similar repositories for Ship-Detection-from-Satellite-Images-using-YOLOV4
Users that are interested in Ship-Detection-from-Satellite-Images-using-YOLOV4 are comparing it to the libraries listed below
Sorting:
- Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.☆129Updated 3 years ago
- The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of variou…☆14Updated 5 years ago
- Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.☆20Updated 3 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 6 months ago
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆32Updated 3 years ago
- Road Detection from Remote Sensing Imagery using Deep Learning Techniques☆19Updated 2 years ago
- Vessel Detection in Synthetic Aperture Radar(SAR) Images☆71Updated 5 years ago
- This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images☆39Updated 2 years ago
- The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping☆28Updated 4 years ago
- Buildings segmentation from satellite imagery and damage classification for each build☆27Updated 6 years ago
- Applying YOLOv8 to Kaggle Ships in Google Earth dataset☆10Updated 2 years ago
- ☆11Updated 4 years ago
- This is a Large-Scale SAR Ship Detection Dataset-v1.0 (LS-SSDD-v1.0) from Sentinel-1, for small ship detec-tion under large-scale backgro…☆71Updated 2 years ago
- Practical Project for Semantic Segmentation of Building Footprint from Satellite Images☆26Updated 3 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆17Updated 5 years ago
- This repository contains the project "Change Detection in Land Usage using Remote Sensing Imangery" completed at Bhaskaracharya Insitutut…☆15Updated 5 years ago
- The custom dataset for fine-tuning the vehicle detector in paper "orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking f…☆43Updated 5 years ago
- Small Vessel Detection from Synthetic Aperture Radar (SAR) Imagery using Deep Learning☆28Updated 4 years ago
- ☆12Updated 9 months ago
- In this project, I developed a Pix2Pix generative adversarial network for image-to-image translation. I have used the so-called maps data…☆29Updated 4 years ago
- High-Resolution SAR Building Dataset☆11Updated 6 months ago
- automatic target recognition in satellite imagery using deep learning☆18Updated 3 years ago
- A repository for CNN based binary and semantic segmentation models for the task of segmenting roads and buildings from aerial images☆15Updated 5 years ago
- SAR Building Dataset☆47Updated 6 months ago
- VGG-16 Model to Segment Rooftops from Aerial Imagery☆32Updated 2 years ago
- Detecting ships from the satellite images using the YOLO algorithm☆76Updated 4 years ago
- This repository contains the code for the paper "A MULTI-TASK DEEP LEARNING FRAMEWORK FOR BUILDING FOOTPRINT SEGMENTATION"☆17Updated 7 months ago
- Landslide segmentation using Deep Deconvolutional Residual UNet☆11Updated 4 years ago
- Ship detection and localization from satellite images☆22Updated 2 years ago
- This repository is about downloading and using the UAVOD-10 dataset☆21Updated 2 years ago