Pinned Repositories
2.680-Marine-Vehicle-Autonomy
This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.
2020a_IMT_SSH_mapping_NATL60
A student challenge on both mapping of satellite altimeter sea surface height data and its dynamical update through web portals for scientific teams interested in the data challenge. Organisation: IMT-Atlantique, MEOM@IGE, Ocean-Next and CLS.
2020a_SSH_mapping_NATL60
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
2021_MSSP
This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"
2L_QG_EOF_DMD
Deterministic and stochastic (projector operator stochastic parameterization) 2-layer QG model
3D_Parabolic_Equation_CUDA
Acoustic Parabolic Equation model with CUDA acceleration.
ML-Applied-for-Physics
paraPropPython
split-step parabolic equation solver for in-ice radio propagation
Rafelski_LandOceanModel
Code for land uptake of CO2 and ocean uptake of CO2. Original author: Lauren Rafelski
transfer-learning-soil-moisture-prediction
Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning
cxzhangqi's Repositories
cxzhangqi/ADCP_Processing
Code processes binary ADCP data and incorporates some quality control measures.
cxzhangqi/argodata
Download Argo Ocean Float Data
cxzhangqi/attention-cnn
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
cxzhangqi/aviso-lagrangian
Finite Size Lyapunov Exponent (FSLE) is a local lagrangian diagnostics that is widely used for the study of transport and mixing processes of oceanographic tracers (Sea surface temperature, Ocean color ...). Its computation is derived from the definition of Finite-Time Lyapunov Exponent that allows the identification of Lagrangian Coherent Structures.
cxzhangqi/Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
cxzhangqi/Compressive_Sensing
Master Thesis: State Estimation Using Few Measurements by Combining Kalman Filtering and Compressive Sensing (also the Kalman Filtered Compressive Sensing Using Pseudo Measurements)
cxzhangqi/deep-learning-em-ducting
Deep learning model for classifying and characterizing atmospheric ducting within the maritime setting
cxzhangqi/Deep-learning-paper-for-OFDM-Communication
应用深度学习到OFDM通信系统中的论文文献汇总
cxzhangqi/deepxde
A library for scientific machine learning and physics-informed learning
cxzhangqi/echopype
Enabling interoperability and scalability in ocean sonar data analysis
cxzhangqi/EMSimulation
Software packages for electromagnetic simulations (DDA and FDTD)
cxzhangqi/forecasting-toolkit
Forecasting Toolkit: A collection of notebooks and scripts for handling and forecasting time series
cxzhangqi/Fortran-code-on-GitHub
Directory of Fortran codes on GitHub, arranged by topic
cxzhangqi/hif-benchmarking
🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃
cxzhangqi/LSENet
Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
cxzhangqi/nps_uw_multibeam_sonar
Multibeam sonar plugin with NVIDIA Cuda library
cxzhangqi/nsfds2
Navier-stokes solver for acoustics
cxzhangqi/ocean_litter
cxzhangqi/OHT_analysis
Ocean Heat Transport Estimation from Argo floats
cxzhangqi/papers-on-AI-in-earth-sciences
📰 📄 A collection of research papers from the earth science community that use AI approaches.
cxzhangqi/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
cxzhangqi/PyKrige
Kriging Toolkit for Python
cxzhangqi/python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
cxzhangqi/qgs
A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
cxzhangqi/RFDereverb
The Signature and Elimination of Sediment Reverberations on Submarine Receiver Functions - JGR Solid Earth (in review)
cxzhangqi/scikit-fda
Functional Data Analysis Python package
cxzhangqi/Sonar_Detection_Mechanism
Sonar Detection Mechanism project is helpful for exploring and mapping the ocean because sound waves travel farther in the water than do radar and light waves.
cxzhangqi/techniques
Techniques for deep learning with satellite & aerial imagery
cxzhangqi/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
cxzhangqi/wave-propagation-1
Wave propagation framework for Python 3. Documentation and examples: https://wave-propagation.readthedocs.io/en/latest/