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raster-vision

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

raysar

RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.

react-native-progress-steps

A simple and fully customizable React Native component that implements a progress stepper UI.

react-native-sensors

A developer friendly approach for sensors in React Native

react-native-swiper

The best Swiper component for React Native.

real-time-accelerometer-data-plot

Here is sample code of real time accelerometer data plot on android mobile using mpandroidchart library.

real_time_face_recognition

Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet

recyclerlistview

High performance listview for React Native and web!

redpy

Repeating Earthquake Detector (Python)

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

reu-acceleratedchangedetectioninsarimages

In this NSF funded Research Experience Undergraduates (REU) project, we develop and implement deep neural network algorithms for change detection of synthetic aperture radar (SAR) images. If you use our work, please cite our paper as a reference.

reu_fft

Fast Fourier Transform program under RECSEM 2018.

ritsar

Synthetic Aperture Radar (SAR) Image Processing Toolbox for Python

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

roi_pac-sentinel1

InSAR processing of Sentinel-1 using ROI_PAC

rs-net

RS-Net is a cloud detection algorithm for satellite imagery

rubygarage.github.com

rxdb

:computer: 🔄 :iphone: A realtime Database for JavaScript Applications

sample-android-mqtt

Sample project to publish position of phone using mqtt

sar

Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN

sar-1

Autofocus and image processing algorithm for SAR imaging.

sar-imaging

Synthetic Aperture Radar Imaging

sar-imaging--csa

The matlab codes of SAR imaging include: These algorithms are tested on Matlab 2015a. You can run main.m to generate the imaging results of ideal point targets.

sar-pre-processing

This is the MULTIPLY repository containing the functionality for SAR pre processing.

sar-raw-data-simulator

SAR raw data acquistion simulator

sar-ship-dataset

sar-signalprocessing

Synthetic Aperture Radar imaging algorithm and implementation

sar-simulator

Matlab code for simulating a synthetic aperture collection.

sar-synthetic-aperture-radar

合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结，毕业后已经离开这个领域了。分享出来，仅此纪念。1）SAR: 成像算法，RD，CS，Radarsat-1数据成像处理。2）InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3）PolSAR: 极化定标算法，Whitt, PARC, Quegan, Ainsworth。详见 readme.md

sar.ai

:satellite: Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.