Introduction to remote sensing & Digital Image Processing

1. Introduction to remote sensing & Digital Image Processing Mirza Muhammad Waqar Contact: mirza.waqar@ist.edu.pk +92-21-34650765-79 EXT:2257 RG610 Course: Introduction to RS & DIP

2. Outlines • Zero Semester Courses • Introduction to RS & DIP • Objectives • Learning Outcomes • Skills Outcomes • Course Assessment • Course Syllabus • Reference Books

3. Zero Semester Courses

4. Introduction to RS & DIP

5. Objectives • The objectives of the course are: • To provide basic concepts and principles of satellite remote sensing and its applications • To give understanding on various on-board sensor data and their applications • To give conceptual understanding of different image processing functions and tools and tasks

6. Learning Outcomes • An understanding on remote sensing principles, satellites and their orbits, data acquisition, onboard sensors and their characteristics. • Knowledge of various data processing techniques for different applications. • An understanding of analysis and interpretation of remote sensing data.

7. Skills Outcomes • By taking this course the students will be: • Able to process satellite data and apply different Digital Image Processing (DIP) algorithms for different tasks using off the shelf software packages. • Able to conceive and conduct a remote sensing based study/project. • Able to select and use appropriate remote sensing datasets for different applications

8. Course Assessment • Home Assignments • Quiz • Class Assignments • Class Interaction • Final Term Exam

9. Course Syllabus (RG610) • Fundamentals of Remote Sensing • History of remote sensing • Electromagnetic radiation • Interaction of EM with the atmosphere • Spectral response at various targets • Radiometric and geometric Errors • Basic principles of Photogrammetry

10. Course Syllabus (RG610) • Sensors • Types of Sensors • Characteristics of optical sensors • Resolution • Remote Sensing Satellite Systems • Earth imaging by satellite • Data parameters • Low Resolution Satellite - NOAA, Aqua, Terra, Meteosat • Medium Resolution satellites - Landsat, SPOT, ASTER • High Resolution Satellites - IKONOS, QuickBird, etc.

11. Course Syllabus (RG610) • Image Rectification and Restoration • Datum, Projection and Coordinate System • Geometric Correction • Data Mosaicing • Image Interpretation • Introduction • Interpretation elements

12. Course Syllabus (RG610) • Image Enhancements • Introduction to digital image processing (DIP) • Perception of colors • Visualization of image data • Colour composites • Filter operations (noise removal, edgeenhancement) • Contrast Manipulation • Spatial Feature Manipulation (Spatial filtering, convolution, edge enhancement, Fourier analysis) • Multi-Image Manipulation (Spectral ratioing and differencing, Density slicing, NDVI, HSI) • Data Merging

13. Course Syllabus (RG610) • Image Classification • Principles of image classification • Unsupervised Classification • Supervised Classification • The Output Stage • Maps and their cartographic representation

14. Course Syllabus (RG610) • Remote Sensing data applications • Landuse/landcover • Urban planning • Geology/geomorphology • Coastal zone • Hydrology/water resources • Thermal infrared data applications • Microwave Remote Sensing • Principles of microwave remote sensing • Microwave sensors and platforms

15. Reference Books • Remote Sensing and Satellite Image Interpretation byThomas M. Lillesand • Remote Sensing – Principles and Interpretation byFloyd F. Sabins • Introduction to Remote Sensing 5th Edition byJames B. Campbell • Introductory Digital Image Processing byJohn R. Jensen

16. Questions & Discussion