Course10610200155 lectures

AI for Earth Observation

Prof. Sudipan Saha · IIT Delhi

About

The course provides a comprehensive introduction to Earth observation (EO) data and unique challenges it poses for Artificial Intelligence. It covers key learning paradigms, semantic segmentation, and change detection. Course explores architectures tailored for Synthetic Aperture Radar (SAR) and hyperspectral image, multi-sensor and multi-modal fusion. The course also introduces vision foundation models for EO applications.

Intended audience: Students/researchers interested in remote sensing, environment, or just to explore an AI application area.

Prerequisites: An introductory-level understanding of machine learning is desirable.

Lectures

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Week 7

Week 8

Week 9

Week 10

Week 11

Syllabus and materials

At NPTEL, as the course publishes them.

Syllabus

Credits and licence

Institution: IIT Delhi
Department: Computer Science and Engineering
Teacher: Prof. Sudipan Saha
Level: Undergraduate
Language: English
Subjects: Computer science, Engineering
Source: NPTEL
Licence: CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution: NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch: NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed