zodiac9969 Goto Github PK
Name: zodiac9969
Type: User
Company: Nanjing University
Location: Nanjing
Name: zodiac9969
Type: User
Company: Nanjing University
Location: Nanjing
A curated list of Google Earth Engine resources
List of satellite imagery datasets with annotations for computer vision and deep learning
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification
CryoGrid is a one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments. The model calculates the surface energy balance in order to represent energy transfer processes between the atmosphere and the ground. These processes include the radiation balance, the exchange of sensible heat, as well as evaporation and condensation. For a realistic representation of the thermal dynamics of the ground, the model includes processes such as the phase change of soil water and an insulating snow cover during winter. Further developments of CryoGrid already enable the model to represent processes such as ground subsidence and the formation of thermokarst due to melting of excess ground ice. The implemented lake module (FLAKE) allows CryoGird also to simulate heat transfer processes of tundra landscapes that are densely populated by lakes and ponds.
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)
Deep Change Vector Analysis
This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.
Code for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Tensorflow implementation for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Python and JavaScript bindings for calling the Earth Engine API.
This folder holds the source code for the article "Extensive Identification of Landslide Boundaries Using Remote Sensing Images and Deep Learning Models". "Landslide Detection code.m" is the implementation code of the MM-DAGNN method in this paper. The dataset is publicly accessible.link from: http://gpcv.whu.edu.cn/data/Bijie_pages.html
These are the Matlab codes used for my master thesis as well as the paper "Feature base fusion for splicing forgery detection based on Neuro fuzzy".
The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.
Gabor Feature Extraction
Generalized Discriminant Analysis (GDA) - non-linear feature dimensionality reduction technique
This is the code for the TGRS paper "Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising".
Classification of Hyperspectral Remote Sensing Images Based on Convolutional Neural Network
Hyperspectral Change Detection Based on Multiple Morphological Profiles
Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery
This folder holds the source code for the article "Integrating Shipborne Images with Multichannel Deep Learning for Landslide Detection".
Compute land surface temperature(LST) from Landsat-8 data using the mono-window and split-window techniques in literature.
Machine learning tool to detect landslides from optical satellite imagery
Linear discriminant analysis
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.