S-Khos / Deep-Learning-for-Aircraft-Recognition
A CNN model trained to classify and identify various military aircraft through satellite imagery
☆17Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for Deep-Learning-for-Aircraft-Recognition
- Ship detection from remote sensing imagery is a crucial application for maritime security which includes among others traffic surveillanc…☆36Updated 4 years ago
- The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of variou…☆13Updated 4 years ago
- Classify crop types in drone images with a pre-trained CNN☆11Updated 4 years ago
- ☆12Updated last year
- A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitori…☆21Updated 2 years ago
- Python implementation of image segmentation algorithm of Shepherd et al (2019) Operational Large-Scale Segmentation of Imagery Based on I…☆10Updated last month
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated last year
- ☆13Updated 2 years ago
- Landslide Detection from satellite imagery☆9Updated 2 years ago
- Satellite image classification using multiple machine learning algorithms☆12Updated 3 years ago
- Post-hurricane structure damage assessment based on aerial imagery leveraging convolutional neural networks☆14Updated 2 years ago
- Ship detection from satellite imagery using Deep Learning model (YOLOv5). Model trained with custom Sentinel-1 dataset provided by Earth …☆26Updated last year
- ☆10Updated last year
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆18Updated 2 years ago
- Building instance segmentation using Mask RCNN☆11Updated 6 years ago
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).☆16Updated last year
- This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images☆27Updated 2 years ago
- Super-Resolution of Satellite Images using Deep Learning☆13Updated 3 years ago
- Deep learning for semantic segmentation of satellite imagery☆10Updated 10 months ago
- Predicting and forecasting the position/trajectory of a satellite orbiting Earth☆14Updated 2 years ago
- Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of th…☆21Updated 3 years ago
- Using Satellite Imagery to detect ships (Basic Object Detection)☆15Updated 4 years ago
- Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍☆22Updated 4 years ago
- automatic target recognition in satellite imagery using deep learning☆13Updated 2 years ago
- Ship detection and localization from satellite images☆19Updated last year
- Shareloc, a simple remote sensing geometric library☆26Updated last week
- ☆10Updated this week
- This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 …☆19Updated 5 months ago
- NGA Deep Learning☆28Updated 3 years ago