1142 Open source projects that are alternatives of or similar to Torchsat

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

deck.gl layers and WebGL modules for client-side satellite imagery analysis

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

Blazing Fast JavaScript Raster Processing Engine

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

Detect container ships in Planet imagery using machine learning

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Satellite image time series in R

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

Xarray backend to Copernicus Sentinel-1 satellite data products

A simpler way of reading and augmenting image segmentation data into TensorFlow

High-level batteries-included neural network training library for Pytorch

FrostNet: Towards Quantization-Aware Network Architecture Search

Data augmentation for NLP, presented at EMNLP 2019

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

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

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

Collection of computer vision models, ready to be included in a JVM project

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

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

To help quickstart impact work with Satellogic [hyperspectral] data

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Earth Observation Data Access Gateway

GeoWombat: Utilities for geospatial data

Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

An open-source semi-automated processing chain for urban OBIA classification.

Implementation of different techniques to find insights from the satellite data using Python.

Tensorflow implementation : U-net and FCN with global convolution

Satellite Image Classification using semantic segmentation methods in deep learning

Sandbox for training deep learning networks

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

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

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Satellite image processing pipeline to classify land-cover and land-use

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

MODIS Assimilation and Processing Engine

A python package that extends Google Earth Engine.

Display GeoTIFFs and soon other types of raster on your Leaflet Map

Google Earth Engine side projects and tutorial scripts

🛰️ Python library and CLI tools for processing geospatial imagery for ML

A flexible Python front-end inference SDK based on TensorRT

📡 Receive images from weather satellite Himawari-8 via HimawariCast.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

Awesome Spectral Indices in Python.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

A time series signal analysis and classification framework

🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

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

A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data

A ninja python package that unifies the Google Earth Engine ecosystem.

Building footprint segmentation from satellite and aerial imagery

Very simple API to download Landsat [1-5, 7, 8] data from Google