204 Open source projects that are alternatives of or similar to shipsnet-detector

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

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

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

Xarray backend to Copernicus Sentinel-1 satellite data products

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

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Data Preparation for Satellite Machine Learning

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

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

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

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

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

Awesome Spectral Indices in Python.

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

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

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

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A python package that extends Google Earth Engine.

Search and download Copernicus Sentinel satellite images

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

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

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

Satellite image time series in R

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

Satellite Stereo Pipeline

Blazing Fast JavaScript Raster Processing Engine

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

interactive notebooks from Planet Engineering

Google Earth Engine side projects and tutorial scripts

Earth Observation Data Access Gateway

To help quickstart impact work with Satellogic [hyperspectral] data

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

Building footprint segmentation from satellite and aerial imagery

trends.earth - measure land change

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

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.

QGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery

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

This is an collection of blog posts turned into a course format

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

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

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

Experiments with satellite image data

A collection of 300+ examples for using Earth Engine and the geemap Python package

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Remote Sensing for Movement Ecology

Road Detection from satellite images using U-Net.

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

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

[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images

Satellite Imagery Feature Detection (68 out of 419)

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Tools for detecting deforestation and forest degradation

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Access satelite imagery where it is needed

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

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

Examples for a blog series on Geospatial Julia using ArchGDAL