grseb9s Goto Github PK
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Data For Semantic Labeling
Graph-based image anomaly detection algorithm leveraging on the Graph Fourier Transform
This algorithm calculates many accuracy assessment indexes, global ones like: P0 - Overall accuracy AUA - Average of user's accuracies APA - Average of producer's accuracies CSI - Classification success index GCSI - Group classification success index P0_marg - Overall accuracy after margfit K - Standard (Cohen's) kappa K_w - Weighted kappa tau - tau index AMI - Average mutual information NMI_g - The geometric mean of the entropies on classified map and on reference data NMI_m - the arithmetic mean of the maximum entropies on on classified map and on reference data CAU - Combined user's accuracy CAP - Combined producer's accuracy D - Total disagreement AD - Total allocation disagreement QD - Total quantity disagreement Aickin_alpha - Aickin's alpha k_cond_aver - Average of conditional kappa or indexes for individual class accuracy validation: PA - Producer's accuracy UA - User's accuracy AUP - Average user's and producer's accuracy ICSI - Individual Classification Success Index MAH - Hellden's mean accuracy MAS - Short's mapping accuracy GT - Ground Truth Index k_cond - Conditional kappa qd - Quantity disagreement for each class ad - Allocation disagreement for each class
Land use classifier built on python for landsat multispectral images.
Implementation of recent papers on hyperspectral image classification for identification of the type of land-cover
An interactive registration tool that manages viewing and manipulating of sets of fiducials
Database for Landsat-based research at Boston University
Automated download of LANDSAT data from USGS website
A utility to search, download and process Landsat 8 satellite imagery
This module allows to retrieve Land Surface Temperature (LST) from Landsat 8 data (TIRS channels)
Landsat 8 Analysis
Example time series stack of Landsat data
Provides several processing steps on Landsat data. Landsat5 to Landsat7 conversion, DNs to radiance and reflectance conversion, TIR to temperature conversion, Indice calculation(NDVI, SAVI, NDWI, NDSI, tasseled cap indices)
A detailed comparison of lane detection and tracking algorithms using OpenCV libraries and MATLAB image processing toolbox
Style and Grammar Checker for 25+ Languages
LanguageTool Firefox and Chrome Add-ons
the content of www.languagetool.org
:zap: Open Internet for everyone. Lantern is a free desktop application that delivers fast, reliable and secure access to the open Internet for users in censored regions. It uses a variety of techniques to stay unblocked, including P2P and domain fronting. Lantern relies on users in uncensored regions acting as access points to the open Internet.
LAPACK development repository
This demo reproduces the results reported in the paper "A Graph Laplacian regularization for Hyperspectral data unmixing" - ICASSP 2015
Course Project KMPA
A PHP Framework For Web Artisans
Code repository for Large Scale Machine Learning with Python, published by Packt
Lightweight library to build and train neural networks in Theano
Adding an ipynb tutorial to Lasagne
This is module is designed to segment the left atrium from MR images given a seed region.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.