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Search results for deep learning remote sensing

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remote-sensing x

136 search results found

Techniques ⭐ 7,678

Techniques for deep learning with satellite & aerial imagery

Awesome Geospatial ⭐ 3,703

Long list of geospatial tools and resources

Awesome Satellite Imagery Datasets ⭐ 3,381

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

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Torchgeo ⭐ 2,067

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

Raster Vision ⭐ 1,956

An open source library and framework for deep learning on satellite and aerial imagery.

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Changedetectionrepository ⭐ 434

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

Vitae Transformer Remote Sensing ⭐ 379

A comprehensive list of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

Label Maker ⭐ 358

Data Preparation for Satellite Machine Learning

Change Detection Review ⭐ 352

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Deepnetsforeo ⭐ 342

Deep networks for Earth Observation

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

Remote Sensing Rvsa ⭐ 331

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

Paddlers ⭐ 303

Awesome Remote Sensing Toolkit based on PaddlePaddle.

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.

Eye In The Sky ⭐ 248

Satellite Image Classification using semantic segmentation methods in deep learning

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.

Benchmark Framework for fair evaluation of rPPG

Deep Learning for Satellite Imagery

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Deep learning with otb (mirror of https://gitlab.irstea.fr/remi.cresson/otbtf)

Geo Deep Learning ⭐ 143

Deep learning applied to georeferenced datasets

Callisto Dataset Collection ⭐ 142

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

Satellite_imagery_analysis ⭐ 123

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

Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf

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

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

Pytorch Psetae ⭐ 98

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Hsi Traditional To Deep Models ⭐ 98

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

Changestar ⭐ 96

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

Manjaro Linux ⭐ 91

Shell scripts for setting up Manjaro Linux for Python programming and deep learning

Siamcrnn ⭐ 88

[IEEE TGRS 2020] Official Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

Yet another repository for developing and benchmarking deep learning-based change detection methods.

Scikit Eo ⭐ 83

A Python package for Remote Sensing Data Analysis

The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"

Pycrop Yield Prediction ⭐ 80

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

2018 Remotesens Fdssc ⭐ 74

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(FDSSC)

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

Classification Of Hyperspectral Image ⭐ 73

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)

Kpcamnet ⭐ 57

[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

Deepwatermap ⭐ 49

a deep model that segments water on multispectral images

Wildfire Forecasting ⭐ 49

Forecasting wildfire danger using deep learning.

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.

Multi Stage Convstar Network ⭐ 47

[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

Hephaestus ⭐ 44

Hephaestus: A large scale multitask dataset towards InSAR understanding

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.

Landslide4sense 2022 ⭐ 41

Data description and baseline code for LandSlide4Sense 2022 competition

Pansharpening by convolutional neural networks in the full resolution framework

[TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

RDP-Net: Region Detail Preserving Network for Change Detection

Deep_learning_ecology ⭐ 34

Educational Resources on Neural Networks for Ecology and Remote Sensing

Neural Road Inspector ⭐ 32

After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.

G2c Conv3d Hsi ⭐ 31

PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution

Pytorch Segmentation Zoo ⭐ 31

A PyTorch collection of semantic segmentation tools.

Ssltransformerrs ⭐ 26

Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award

PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"

Lightweight Temporal Attention Pytorch ⭐ 23

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

Changeos ⭐ 23

ChangeOS - Remote Sensing of Environment

Cultionet ⭐ 23

Image segmentation of cultivated land

Cnn Supervised Classification ⭐ 23

Python code for self-supervised classification of remotely sensed imagery - part of the Deep Riverscapes project

Polsarformer ⭐ 22

This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.

Open-source codes of CVEO recent work "Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings".

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Dfc2020_baseline ⭐ 20

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification

Aconvnet Pytorch ⭐ 18

PyTorch implementation of Target Classification Using the Deep Convolutional Networks for SAR Images

Satellite Image Classification Pytorch ⭐ 18

Image classification on Satellite Dataset-RSI-CB256 with torchvision models.

Orthoseg ⭐ 18

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

Ercnn Drs_urban_change_monitoring ⭐ 17

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

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Hsi_denoising_sure_cnn ⭐ 17

Codes for the paper "Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks", published in IEEE TGRS Vol. 59, Issue 4, 2020.

ODEON stands for Object Delineation on Earth Observations with Neural network. It is an agnostic framework for deep learning applied to GIS industry

Deepriver ⭐ 16

a deep-learning-based river centerline extraction model

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Austin Ml Change Detection Demo ⭐ 15

A change detection demo for the Austin area using a pre-trained PyTorch model scaled with Dask on Planet imagery.

Buildformer ⭐ 15

Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022

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.

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

A toolbox to make deep learning samples from remote sensing images

DeepGeo: Deep Learning for Earth Observation data ToolBox

Cdlab Pp ⭐ 14

Remote sensing change detection using PaddlePaddle

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

Fcn Cd Pytorch ⭐ 14

Training code for https://github.com/rcdaudt/fully_convolutional_cha

[ISPRS P&RS 2023] Official implementation for Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.

Retrieval 2016 Remote ⭐ 13

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

Earthvision2021 Weakly Supervised ⭐ 13

1st Place Solution for the EARTHVISION 2021 DynamicEarthNet Challenge - Weakly-Supervised Multi-Class Change Detection Track at CVPRW 2021

Deepsatdata ⭐ 13

Automatically create machine learning datasets from satellite images

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