AD-803 (A) RGPV B.Tech
AI for Remote Sensing (ARS)
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Previous Year Papers
2 papers, latest Jun 2025
Syllabus, notes and important questions for AD-803 (A)
- Syllabus Official RGPV syllabus Free
- Notes 5 documents Free
- Important Questions None for AD-803 (A) yet
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Remote Sensing and AI 4 topics
- Definition of Remote sensing
- Principles of Remote Sensing
- Introduction to Artificial Intelligence
- Integration of AI in Remote Sensing
Unit 2 Types of Remote Sensing Platforms and Sensors 6 topics
- Types and classification of sensors
- Types of platforms (ground, airborne, space‑borne)
- Data acquisition techniques and image resolution
- Data pre‑processing and feature extraction techniques
- Radiometric and geometric corrections
- Data fusion and enhancement methods
Unit 3 AI for Remote Sensing 4 topics
- Supervised learning for remote sensing analysis
- Unsupervised learning for remote sensing analysis
- Deep learning for remote sensing analysis
- Image classification techniques in remote sensing
Unit 4 AI‑Assisted Image Interpretation and Feature Extraction 4 topics
- Object detection and tracking in remote sensing imagery
- Change detection and time‑series analysis
- Hyperspectral and LiDAR data analysis
- Fusion of multi‑modal remote sensing data
Unit 5 Applications of AI in Remote Sensing 4 topics
- Land cover and land use mapping
- Environmental monitoring and assessment
- Disaster management and response
- Precision agriculture and crop monitoring