AKTU Machine Processing of Remotely Sensed Data (HTGI501) Syllabus PDF – B.Tech Honors Degree in Geoinformatics
Machine Processing of Remotely Sensed Data HTGI501
All syllabus, notes, question bank & PYQ for this subject
- English
- Semester 5
- 0 downloads
- 0 views
Syllabus — Machine Processing of Remotely Sensed Data
Download PDFHTGI501 · 4 credits · L-T-P 3-1-0
Course Outcomes: After completion of this course the student will be able to:
CO1.Understand satellite data acquisition systems, data storage, formats, and compression techniques, along with an overview of current remote sensing systems.
CO2. Describe the preprocessing of remotely sensed data, correcting radiometric and geometric distortions, and gaining insight into spectral analysis.
CO3. Apply skills in image enhancement and analysis, including contrast manipulation, convolution for edge enhancement, and spatial feature manipulation.
CO4. Explore image transformations, pattern recognition, and classification techniques in remote sensing, along with image fusion and change detection methods.
CO5. Explain GIS integration, multitemporal data merging, hyper-spectral image analysis, and radar image analysis techniques in the context of remote sensing applications.
Course Content
| Unit-1 | SATELLITE DATA ACQUISITION AND IMAGE PROCESSING BASICS: Overview of satellite data acquisition systems, Initial Statics of Satellite data, Storage and retrieval of remotely sensed data, Understanding data formats and compression techniques, Introduction to satellite systems and their data products, Image display systems and an overview of current remote sensing systems. | 8 |
| Unit-2 | PREPROCESSING OF REMOTELY SENSED DATA: Radiometric and geometric distortions in remotely sensed data, Techniques and methods for geometric correction, Radiometric correction and noise removal, Spectral ratioing and introduction to principal and canonical components, Vegetative components in remote sensing data. | 8 |
| Unit-3 | IMAGE ENHANCEMENT AND ANALYSIS: Image rectification and restoration techniques, Contrast manipulation and gray-level thresholding, Level slicing and contrast stretching, Convolution for edge enhancement, Spatial feature manipulation in image processing. | 8 |
| Unit-4 | IMAGE TRANSFORMATIONS AND PATTERN RECOGNITION: Overview of image transformations in remote sensing, Pattern recognition techniques in image analysis, Shape analysis, textural, and contextual analysis, Image classification Techniques, Image fusion and change detection in remote sensing data. | 8 |
| Unit-5 | GIS INTEGRATION, HYPER-SPECTRAL, AND RADAR IMAGE ANALYSIS: Data merging and integration with GIS, Multitemporal data merging and change detection procedures, Multisensor image merging and incorporating ancillary data, Introduction to hyper-spectral image analysis and atmospheric correction, Radar image analysis techniques. | 8 |
Reference Books
- Remote Sensing and Image Interpretation by Thomas Lillesand, Ralph W. Kiefer, Jonathan Chipman, Seventh Edition, 2015, Wiley.
- Image Interpretation in Geology by Dr S A Drury, S. A. Drury, First Edition, 2001, Routledge.
- Introductory Digital Image Processing: A Remote Sensing Perspective by John Jensen, Fourth Edition, 2015, Pearson.
- Remote Sensing: Models and Methods for Image Processing by Robert A. Schowengerdt, 2006, Elsevier.
- Satellite image processing: https://www.darklab.lu.se/swedigarch-tutorials/tutorials/satellite-image-processing/
- Data acquisition and processing: https://gis.si/en/data-acquisition-and-processing/
- Digital Image Processing and Analysis: https://www.sciencedirect.com/science/article/abs/pii/B9780128129425000112
- Hyperspectral Image Processing: https://www.sciencedirect.com/topics/computer-science/hyperspectral-image-processing
Ratings & Reviews
No reviews yet — share your experience with this item.