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Search results for deep learning satellite
deep-learning
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satellite
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51 search results found
Sahi
⭐
3,340
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Raster Vision
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1,956
An open source library and framework for deep learning on satellite and aerial imagery.
Ternausnetv2
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500
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Label Maker
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358
Data Preparation for Satellite Machine Learning
Torchsat
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285
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Eye In The Sky
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248
Satellite Image Classification using semantic segmentation methods in deep learning
Geospatial Machine Learning
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196
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Keras Unet
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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
Delta
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169
Deep Learning for Satellite Imagery
Aitlas
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157
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Deep Unet For Satellite Image Segmentation
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155
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Spacenet_building_detection
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140
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Simrdwn
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126
Rapid satellite imagery object detection
Dstl_unet
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107
Dstl Satellite Imagery Feature Detection
Dsen2 Cr
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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.
Pytorch Psetae
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98
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Building Footprint Segmentation
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86
Building footprint segmentation from satellite and aerial imagery
Satellighte
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68
📡 PyTorch Lightning Implementations of Recent Satellite Image Classification !
Vector Map Generation From Aerial Imagery Using Deep Learning Geospatial Unet
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59
We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.
Dna Nn
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51
Model and predict short DNA sequence features with neural networks
U Net Satellite
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51
Road Detection from satellite images using U-Net.
Deepsentinel
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51
Deep learning pretrained model on satellite imagery (Sentinel-2)
Deep Learning For Satellite Imagery
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48
Deep learning courses and projects
Crossview_localisation
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44
Ohsome2label
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42
Historical OpenStreetMap Objects to Machine Learning Training Samples
Deepsatellitedata
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39
List of labelled remote sensing datasets for use in deep learning.
Deepdespeckling
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35
Banet
⭐
34
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Dl Docker Geospatial
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31
Deep learning docker files and docker images for geospatial anaysis.
Imagetodem
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29
Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
End To End Cd For Vhr Satellite Image
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27
The project aims to contribute to geoscience community
Kaggle Satellite Imagery Feature Detection
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24
Satellite Imagery Feature Detection (68 out of 419)
Cultionet
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23
Image segmentation of cultivated land
Lightweight Temporal Attention Pytorch
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23
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
Ship Detection
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22
Detecting ships from the satellite images using the YOLO algorithm
Propertyclassification
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20
Classifying the type of property given Real Estate, satellite and Street view Images
Deep_typhoon
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20
Analysis satellite images of typhoons in deep-learning (CNN).
Deep Neural Network With Keras Python Satellite Image Classification
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20
Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification
Deephypercnn
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19
Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks
Crop Classification
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19
crop classification using deep learning on satellite images
Satellite Crosswalk Classification
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16
Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification
Satsr
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15
A project to perform super-resolution on multispectral images from any satellite
Machinelearning Landuse
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13
Maps_webapp
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13
Satellite Images Classification With Keras R
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12
Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification
Sues 200 Benchmark
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12
SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite
E Farmerce Platform
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11
e-farmerce aims to solve the problem of Automated Crop Identification using Satellite Imagery and Deep Learning.
Mtl_pan_seg
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10
Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"
Srcnn
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10
Super Resolution for Satellite Imagery
Darth
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10
DATASETS FOR WHOLE E-ARTH
Aerial Imagery
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8
Data Science Research Project: Map poverty using satellite images.
Deep Cnn Sat Image Time Series
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8
Deep CNN and RNN for Satellite Image Time Series
Detecting Ships
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7
Using Satellite Imagery to detect ships (Basic Object Detection)
Deepway
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7
Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".
Fdsi
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7
Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]
Automatic Road Extraction
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7
Road extraction with deep learning from high resolution satellite images.
Understanding Forest From Space
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7
Label satellite images from the Amazon basin, in order to better track and understand causes of deforestation.
Weather4cast 2022
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6
Team "team-name" solution for Weather4cast Challenge
Geo Deeplearning
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6
A list of papers, resources, datasets and code on Deep Learnig applications in Satellite imagery
Road_segmentation_ml
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5
Road Extraction from Satellite Images with an ensemble of 3 U-Nets
Cloud_snow_segmentation
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5
Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem
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