Machine Learning aplicado a datos rasterizados

Machine learning
applied to Raster Data

Goals

The main objectives of the module are:

  • Understand what multispectral images are
  • Obtain statistical summaries of multispectral images
  • Apply machine learning algorithms to multispectral images

Program

This module belongs to the Advanced training program of Aragón EDIH.

1. Multispectral imaging

  • What are multispectral images?
  • Traditional uses of multispectral images.
  • Comparison of multispectral image data sources.

2. ML algorithm on data (derived) from Multispectral Images I.

  • Close and very high resolution images -> see link with vision
  • Drone and airplane images

3. ML algorithm on data (derived) from Multispectral Images II.

  • satellite images
  • Super resolution algorithm

4. Grapevine: in practical example.

Who is this course aimed at?

This course is aimed at people with knowledge of programming and Artificial Intelligence who want to expand their knowledge to the processing and use of aerial images.

Requirements:

  • Advanced knowledge of Python in the use of geopositioned (satellite) images using specific libraries for processing with DataFrames (Pillow, rasterio, etc.).
  • Laptop

Faculty

  • Francisco Lacueva – Big Data and Cognitive Systems Team of the Technological Institute of Aragon.
  • Gorka Labata – Big Data and Cognitive Systems Team of the Technological Institute of Aragon.

Time, date and place

  • Total duration: 6h
  • Dates: 2024
  • Hours: 4 to 7 p.m.
  • Place: Technological Institute of Aragon. C/ María de Luna, 7 (white building), 50018 Zaragoza
  • Maximum number of attendees: 15 people

Registration 

Coming in 2024