Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/syamkakarla98/satellite_imagery_analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
https://github.com/syamkakarla98/satellite_imagery_analysis
3d-cnn analysis classification clustering data-analysis data-visualization deep-learning find-insights hacktoberfest hacktoberfest-accepted mahine-learning python python3 remote-sensing satellite-data satellite-imagery satellite-imagery-analysis
Last synced: about 6 hours ago
JSON representation
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
- Host: GitHub
- URL: https://github.com/syamkakarla98/satellite_imagery_analysis
- Owner: syamkakarla98
- License: gpl-3.0
- Created: 2021-01-07T09:59:37.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-05-05T12:46:27.000Z (over 2 years ago)
- Last Synced: 2025-01-14T17:49:25.612Z (7 days ago)
- Topics: 3d-cnn, analysis, classification, clustering, data-analysis, data-visualization, deep-learning, find-insights, hacktoberfest, hacktoberfest-accepted, mahine-learning, python, python3, remote-sensing, satellite-data, satellite-imagery, satellite-imagery-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 57 MB
- Stars: 244
- Watchers: 6
- Forks: 124
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Satellite Imagery Analysis
![Python](https://img.shields.io/badge/Python-3.6-green.svg)
![Stars](https://img.shields.io/github/stars/syamkakarla98/Satellite_Imagery_Analysis)
![Forks]( https://img.shields.io/github/forks/syamkakarla98/Satellite_Imagery_Analysis)
![issued](https://img.shields.io/github/issues/syamkakarla98/Satellite_Imagery_Analysis)
![License](https://img.shields.io/github/license/syamkakarla98/Satellite_Imagery_Analysis)
Implementation of different techniques to find insights from the satellite data using Python.This repository holds a bunch of notebooks which helps you to learn the topics related to remote-sensing especially satellite imagery analysis.