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Search results for deep learning satellite imagery

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74 search results found

Techniques ⭐ 7,678

Techniques for deep learning with satellite & aerial imagery

Awesome Satellite Imagery Datasets ⭐ 3,381

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Torchgeo ⭐ 2,067

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Ternausnetv2 ⭐ 500

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Open Solution Mapping Challenge ⭐ 363

Open solution to the Mapping Challenge 🌎

Label Maker ⭐ 358

Data Preparation for Satellite Machine Learning

Satellite Imagery Datasets Containing Ships ⭐ 340

A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

Changeformer ⭐ 335

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

Instancesegmentation_sentinel2 ⭐ 300

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Torchsat ⭐ 285

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Highres Net ⭐ 269

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.

Awesome_satellite_benchmark_datasets ⭐ 231

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

Remote Sensing Deep Learning ⭐ 222

Worldstrat ⭐ 197

The WorldStrat Dataset

Geospatial Machine Learning ⭐ 196

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Keras Unet ⭐ 194

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Deep Learning for Satellite Imagery

Callisto Dataset Collection ⭐ 142

A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.

Spacenet_building_detection ⭐ 140

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Danesfield ⭐ 136

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Skeyenet ⭐ 127

Road and Building Segmentation in Satellite Imagery

Satellite_imagery_analysis ⭐ 123

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

Dsen2 Cr ⭐ 101

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

Building Footprint Segmentation ⭐ 86

Building footprint segmentation from satellite and aerial imagery

Scikit Eo ⭐ 83

A Python package for Remote Sensing Data Analysis

Utae Paps ⭐ 71

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Urban change model designed to identify changes across 2 timestamps

Land Cover Classification Using Sentinel 2 Dataset ⭐ 58

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Deep Learning For Earth Observation ⭐ 56

Application of deep learning for earth observation.

Pixel Decoder ⭐ 53

A tool of running deep learning algorithms for semantic segmentation with satellite imagery

U Net Satellite ⭐ 51

Road Detection from satellite images using U-Net.

3d Pv Locator ⭐ 48

Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Deep Learning For Satellite Imagery ⭐ 48

Deep learning courses and projects

Dubai Satellite Imagery Segmentation ⭐ 45

Multi-Class Semantic Segmentation on Dubai's Satellite Images.

Label Pixels ⭐ 42

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

Xview2_solution ⭐ 39

2nd place solution for Xview2 challenge https://xview2.org/

Segmentation_gym ⭐ 39

A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler

Deepdespeckling ⭐ 35

Satimage ⭐ 31

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Geetiles ⭐ 29

download Google Earth Engine datasets to tiles as geotiff arrays

Opensicdr ⭐ 29

Open Satellite Image Cloud Detection Resources (Datasets and Tools)

Weather4cast ⭐ 25

Code accompanying our IARAI Weather4cast Challenge

Kaggle Satellite Imagery Feature Detection ⭐ 24

Satellite Imagery Feature Detection (68 out of 419)

Satellite Thermal Geo Localization ⭐ 23

Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"

Lightweight Temporal Attention Pytorch ⭐ 23

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Ship Detection ⭐ 22

Detecting ships from the satellite images using the YOLO algorithm

Propertyclassification ⭐ 20

Classifying the type of property given Real Estate, satellite and Street view Images

Deep_typhoon ⭐ 20

Analysis satellite images of typhoons in deep-learning (CNN).

Cowc_car_counting ⭐ 18

Project to train/evaluate convolutional neural networks to count cars from COWC aerial images

Orthoseg ⭐ 18

OrthoSeg makes it easy to train neural networks to segment orthophotos.

Land Cover Semantic Segmentation Pytorch ⭐ 18

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

Ercnn Drs_urban_change_monitoring ⭐ 17

Neural Network based Urban Change Detection with Deep-Temporal Multispectral and SAR Remote Sensing Data.

Satellite Crosswalk Classification ⭐ 16

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification

Python For Remote Sensing ⭐ 15

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

E Farmerce Platform ⭐ 11

e-farmerce aims to solve the problem of Automated Crop Identification using Satellite Imagery and Deep Learning.

Mtl_pan_seg ⭐ 10

Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"

Super Resolution for Satellite Imagery

Waf_ml_tutorial_part2 ⭐ 10

Python code to assist in familiarizing meteorologists with machine learning

Earthengine Image Downloader ⭐ 10

A fast way to download satellite images by defining the location from google-earth-engine

Crop Forecasting ⭐ 10

Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.

Satellite Imagery To Map Translation Using Pix2pix Gan Framework ⭐ 9

PyTorch Implementation of Pix2Pix framework to train a U-Net with Generative Adversarial Network to map Satellite Imagery to an equivalent Map.

Detecting Ships ⭐ 7

Using Satellite Imagery to detect ships (Basic Object Detection)

Understanding Forest From Space ⭐ 7

Label satellite images from the Amazon basin, in order to better track and understand causes of deforestation.

Spacenet7 Buildings Detection ⭐ 7

Building detection from the SpaceNet dataset using UNet.

Using ML to match ground level photos to overhead imagery.

Rs Datasetshub ⭐ 7

A hub hosting essential remote sensing datasets.

Cloudsclassification ⭐ 7

⛈🌦🌧Clouds classification analysis from satellite images based on Kaggle Competition. Paper - Classification and understanding of cloud structures via satellite images with EfficientUNet

Missing Pixel Filler ⭐ 7

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

Object_detection_satellite_imagery_yolov8_dior ⭐ 6

Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.

Geo Deeplearning ⭐ 6

A list of papers, resources, datasets and code on Deep Learnig applications in Satellite imagery

Wildebeest Unet ⭐ 6

A U-Net-based deep learning ensemble model for wildebeest-sized animal detection from satellite imagery. A version used for the paper accepted by Nature Communications: "Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape" (https://rdcu.be/dc8bU).

Pytorch implementation of ResUnet and ResUnet ++

Marine Debris Ml Model ⭐ 5

Marine Debris Detection with Commercial Satellite Imagery and Deep Learning.

Resunet A ⭐ 5

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

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