codelover96/alcyone-object-phenomenon-detection-system.public

Alcyone

Object and phenomenon detection on optical satellite images

Description

Alcyone is a machine learning system for object and phenomenon detection. Utilizes state of the art machine learning models to recognize and dictate objects like ships, oil spills, fire and smoke on satellite image data.

This repo is a Proof of Concept of the Front End Service of Alcyone system.

Authors

Alcyone is the senior thesis of Eirini Mitsa and Costas Patsaras, students at Informatics Department of Aristotle University of Thessaloniki.

#	Eirini Mitsa	Costas Patsaras
mail	[email protected]	[email protected]
website	---	costaspatsaras.me
github	mitsaeirini	@codelover96

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files. You can specify port by adding --port, followed by the desired port number.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory. Use the --prod flag for a production build.

Running unit tests (Not supported yet)

Run ng test to execute the unit tests via Karma.

Running end-to-end tests (Not supported yet)

Run ng e2e to execute the end-to-end tests via Protractor.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI README.

Built with Angular CLI version 9.0.2.

Todos

• Add responsiveness with flexLayout and custom css (DONE)
• Apply minor tweaks to typography (DONE)
• Optimise css (DONE)
• Integrate with back-end

Contributing

Contributions to this project are welcome! Please fork this repository and submit a pull request with your proposed changes.

License

Mozilla Public License 2.0