1. INTRODUCTION TO REMOTE SENSING & DIGITAL IMAGE PROCESSING Course: Introduction to RS & DIP Mirza Muhammad Waqar Contact: mirza.waqar@ist.edu.pk +92-21-34650765-79 EXT:2257 RG610

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

3. Zero Semester Courses Sr. No. Course Code Course Title Course Category Credit Hours 01RG610 Introduction to Remote Sensing & Digital Image Processing Introductory / Deficiency 0 02RG620Introduction to Geographical Information Science Introductory / Deficiency 0 03RG630Introduction to Database and Programming Introductory / Deficiency 0 04RG640 Remote Sensing and GIS Multidisciplinary Applications Introductory / Deficiency 0 05RG600Introduction to Mathematics / Statistics Introductory / Deficiency 0 Total Credit HoursTotal Credit Hours0

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 1. Home Assignments 2. Quiz 3. Class Assignments 4. Class Interaction 5. Final Term Exam

9. Course Syllabus (RG610) 1. Fundamentals of Remote Sensing i. History of remote sensing ii. Electromagnetic radiation iii. Interaction of EM with the atmosphere iv. Spectral response at various targets v. Radiometric and geometric Errors vi. Basic principles of Photogrammetry

10. 2. Sensors i. Types of Sensors ii. Characteristics of optical sensors iii. Resolution 3. Remote Sensing Satellite Systems i. Earth imaging by satellite ii. Data parameters iii. Low Resolution Satellite - NOAA, Aqua, Terra, Meteosat iv. Medium Resolution satellites - Landsat, SPOT, ASTER v. High Resolution Satellites - IKONOS, QuickBird, etc. Course Syllabus (RG610)

11. 4. Image Rectification and Restoration i. Datum, Projection and Coordinate System ii. Geometric Correction iii. Data Mosaicing 5. Image Interpretation i. Introduction ii. Interpretation elements

12. Course Syllabus (RG610) 6. Image Enhancements i. Introduction to digital image processing (DIP) ii. Perception of colors iii. Visualization of image data iv. Colour composites v. Filter operations (noise removal, edge enhancement) vi. Contrast Manipulation vii. Spatial Feature Manipulation (Spatial filtering, convolution, edge enhancement, Fourier analysis) viii. Multi-Image Manipulation (Spectral ratioing and differencing, Density slicing, NDVI, HSI) ix. Data Merging

13. Course Syllabus (RG610) 7. Image Classification i. Principles of image classification ii. Unsupervised Classification iii. Supervised Classification 8. The Output Stage i. Maps and their cartographic representation

14. Course Syllabus (RG610) 9. Remote Sensing data applications i. Landuse/landcover ii. Urban planning iii. Geology/geomorphology iv. Coastal zone v. Hydrology/water resources vi. Thermal infrared data applications 10. Microwave Remote Sensing i. Principles of microwave remote sensing ii. Microwave sensors and platforms

15. Reference Books 1. Remote Sensing and Satellite Image Interpretation by Thomas M. Lillesand 2. Remote Sensing – Principles and Interpretation by Floyd F. Sabins 3. Introduction to Remote Sensing 5th Edition by James B. Campbell 4. Introductory Digital Image Processing by John R. Jensen

16. Questions & Discussion