400 Open source projects that are alternatives of or similar to RAMS

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

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

trends.earth - measure land change

SRZoo: An integrated repository for super-resolution using deep learning

Machine Learning Course @ Santa Clara University

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.

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.

Pytorch implementation for SRDenseNet (ICCV2017)

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

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Generative Adversarial Network for single image super-resolution in high content screening microscopy images

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

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[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

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

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

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Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

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SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

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

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

Manual, source-code and binaries for the NanoJ-Fluidics project

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

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

Text processing library for sentiment analysis and related tasks

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

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

To help quickstart impact work with Satellogic [hyperspectral] data

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

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

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

Remote Sensing for Movement Ecology

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

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.

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

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

Awesome Spectral Indices in Python.

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

Chess reinforcement learning by AlphaZero methods.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

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

Tools for detecting deforestation and forest degradation

Simple neural network implemented from scratch in C++.

A survey of recent application of deep learning on super-resolution tasks

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VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python