Gayantha R. L. Kodikara's Projects
Repository for Ardupilot wiki issues and wiki-specific website infrastructure.
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
DroneKit
Deep Clustering for Unsupervised Learning of Visual Features
DroneKit-Python library for communicating with Drones via MAVLink.
EQ3/6 on Raspberry Pi
Finding the best multispectral sensor and its band combination for mapping evaporites
GDAL scripts generally written in Python
Config files for my GitHub profile.
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
hyper2color is a tool for generating colorimetric images from hyperspectral reflectance data
Geological Survey Irelands hyperspectral project
Processing of HSIs: spectral unmixing and classification.
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
This repo produces classified raster and shapefile output from input Hyperspectral image.
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Brief Introduction to Hyperspectral Image Analysis - Jupyter Notebook
Simple notebook to open georeference hyperspectral data, clip, dynamically plot spectral profile, dump as csv, and compute PCA
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
Hyperspectral image classification using GDAL
MicaSense RedEdge and Altum image processing tutorials
A simple library to deploy Keras neural networks in pure C for realtime applications
Libreoffice bibliography style for Icarus Journal
High-performance optical distance sensing.
3D Broadband Community Monte Carlo Code
Mineral Mapping on Hyperspectral Imagery using Machine Learning
Provides an end-to-end machine learning process for hyperspectral image analysis. It includes denoising data, feature engineering, hyperparameter tuning, and prediction on new images. The repository is designed to be user-friendly and easily understandable, with code notebooks provided for each step, as well as functions that can be applied easily.
This will set you up on how to integrate cheap HC-SR04 ultrasonic sensor and arduino uno for Object detection and avoidance on a Pixhawk 2.4.8 and even the cube(Wiring for the telemetry will start from right i.e 5v will be be on right followed by TX & Rx). The arduino will communicate with the pixhawk and will override the Tx input to achieve avoid
Opencv4.0 with python (English&δΈζ)οΌ and will keep the update ! π