195 Open source projects that are alternatives of or similar to DSMSCN

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.

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

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

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

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

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

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

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

a deep model that segments water on multispectral images

Multiclass image classification using Convolutional Neural Network

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

A demo to demonstrate Angular change detection

An ORM friendly mapper. Allows saving entire entity graphs. Heavily inspired in GraphDiff and AutoMapper.

An interactive GUI for WhiteboxTools in a Jupyter-based environment

Awesome Spectral Indices in Python.

Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"

We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing. SARbian is free for use in research, education or operational work.

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

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.

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

CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.

Github action to verify file changes that occur during the workflow execution.

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

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

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

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

Urban change model designed to identify changes across 2 timestamps

Alerts you via email about a website change.

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

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Earth Observation Data Access Gateway

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

Forecasting wildfire danger using deep learning.

A U-Net for solar panel identification and segmentation

A PyTorch collection of semantic segmentation tools.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Radar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing

Tools for detecting deforestation and forest degradation

Distributed Scalable Geospatial Data Server

CNN architecture for predicting DNA binding sites for Transcription Factors

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

Angular Profiler for Ivy, debugging and visualization tools

Framework for the reproducible processing of neuroimaging data with deep learning methods

Search, download, and preprocess Landsat imagery 🛰️

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

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

a deep-learning-based river centerline extraction model

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

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

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

Pan-sharpening in the Earth Engine code editor

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

A python package that extends Google Earth Engine.

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

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

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

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

Google Earth Engine side projects and tutorial scripts