S-Khos / Deep-Learning-for-Aircraft-Recognition
A CNN model trained to classify and identify various military aircraft through satellite imagery
☆18Updated last year
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
- This repo contains the details of the HRPlanesv2, a high-resolution satellite imagery dataset for aircraft detection, as well as the benc…☆20Updated last year
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆18Updated 2 years ago
- NASA SEES (2021): CNN Mosquito Detection Research☆12Updated 2 years ago
- zia207 / Deep-Neural-Network-Satellite-Image-Classification-in-Google-Colaboratory-iPython-Note-Book-Deep Neural Network: Satellite Image Classification in Google Colaboratory iPython Note Book☆10Updated 2 weeks ago
- Public repository for the paper Revealing the Global Longline Fleet with SAR.☆15Updated last year
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated last year
- Contains the code for the paper "MapInWild: A Remote Sensing Dataset to Answer the Question What Makes Nature Wild"☆12Updated last year
- YOLOv3 - Neural Networks for Object Detection in satellite Imagery.☆18Updated 2 years ago
- ☆12Updated 2 years ago
- Satellite Image Augmetation with GANs☆19Updated 2 years ago
- ☆17Updated 2 years ago
- Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.☆111Updated 2 years ago
- Detection of solar panels from satellite images using deep learning☆9Updated 5 months ago
- Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍☆22Updated 4 years ago
- Using Vision Transformers for enhanced wildfire detection in satellite images☆21Updated 2 years ago
- Ship detection and localization from satellite images☆20Updated last year
- A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.☆18Updated 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
- Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery☆19Updated 6 months ago
- ☆13Updated 2 years ago
- The semantic segmentation of remote sensing images☆13Updated 2 years ago
- Python - Rasterio and Geopandas to calculate Zonal Statistics☆14Updated 5 years ago
- Experimenting with convolutional neural networks (CNN) to detect buildings in satellite imagery☆12Updated 6 years ago
- A repository to be used as a resource in the wildfire area like the detection, forecasting, and segmentation of wildfires 🔥, after the h…☆17Updated 2 years ago
- This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 …☆20Updated 6 months ago
- ☆18Updated 2 years ago