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61 search results found

Techniques ⭐ 7,678

Techniques for deep learning with satellite & aerial imagery

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.

Dota Doai ⭐ 676

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

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

University1652 Baseline ⭐ 402

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.

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.

Changeformer ⭐ 335

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

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

Torchsat ⭐ 285

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

[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Benchmark Framework for fair evaluation of rPPG

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

Geo Deep Learning ⭐ 143

Deep learning applied to georeferenced datasets

Changedetection ⭐ 125

A framework for change detection using PyTorch

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

Pytorch Psetae ⭐ 98

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

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

High Resolution Remote Sensing Semantic Segmentation Pytorch ⭐ 84

PyTorch实现高分遥感语义分割（地物分类）

Multi Stage Convstar Network ⭐ 47

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

Landslide4sense 2022 ⭐ 41

Data description and baseline code for LandSlide4Sense 2022 competition

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

Pansharpening by convolutional neural networks in the full resolution framework

Road_extraction_remote_sensing ⭐ 32

Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)

Pytorch Segmentation Zoo ⭐ 31

A PyTorch collection of semantic segmentation tools.

Lightweight Temporal Attention Pytorch ⭐ 23

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

Cultionet ⭐ 23

Image segmentation of cultivated land

Dfc2020_baseline ⭐ 20

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

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.

Memoryadaptnet Master ⭐ 18

Slp Cropland Parcel Extraction ⭐ 17

cropland-parcel extraction

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

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

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.

Multimodal Remote Sensing Toolkit ⭐ 13

A python tool to perform deep learning experiments on multimodal remote sensing data.

Earthvision2021 Weakly Supervised ⭐ 13

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

Satellite Sam Dashboard ⭐ 12

This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows segmenting satellite images using the two ways provided by SAM: automatic mask generator and prompt segmentation (using points and bounding boxes).

[IEEE TIP 2022] Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations

Hrcnet High Resolution Context Extraction Network ⭐ 11

SOTA method on Potsdam and Vaihingen datasets, based on HRNet.

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark

Models for Remote Sensing

Remote Sensing Object Detection With Oriented Bouding Box ⭐ 9

Some object detection codes for DOTA dataset

Transfer_learning_cspt ⭐ 9

Rs Segment.pytorch ⭐ 9

遥感影像语义分割

Permutation invariance and uncertainty in multitemporal image super-resolution

T-UNet: Triplet UNet for Change Detection in High-Resolution Remote Sensing Images

Cnn Based Cloud Detection Methods ⭐ 7

Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery

Spacenet7 Buildings Detection ⭐ 7

Building detection from the SpaceNet dataset using UNet.

[IEEE TNNLS 2022] Robust Self-Ensembling Network for Hyperspectral Image Classification

Backdoor Attacks for Remote Sensing Data with Wavelet Transform

ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very High Resolution Remote Sensing Images

Thecoloroutofspace ⭐ 6

Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"

Retinanet Pytorch ⭐ 6

A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection.

PyTorch implementation of "An Elliptical Distribution aided Adaptive Label Assignment for Oriented Object Detection in Remote Sensing Images"

Remote sensing elevation (3D) change detection with deep learning

Atrain Cloudseg ⭐ 5

Official GitHub repository for the A-Train Cloud Segmentation Dataset.

Cloud_snow_segmentation ⭐ 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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