GI5511: Digital Image Processing Laboratory Syllabus for Geoinformatics 5th Sem 2019 Regulation Anna University

Digital Image Processing Laboratory detailed syllabus for Geoinformatics Engineering (Geoinformatics) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Geoinformatics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Geoinformatics Engineering 5th Sem scheme and its subjects, do visit Geoinformatics 5th Sem 2019 regulation scheme. The detailed syllabus of digital image processing laboratory is as follows.

Course Objective:

• To familiarize the undergraduate level students in the regular Image Processing Software with respect to basic processing required to generate thematic maps from Satellite data.

List of Experiments:

1. Image reading, writing and creating FCC
2. Study of image file formats and organization
3. Preprocessing techniques : radiometric correction
4. Preprocessing techniques : Ground control and Geometric rectification
5. Enhancenments – histogram, Convolution filters
6. Band ratioing and normalization -NDVI,SAVI and NDWI
7. PCA and Fourier Transform
8. Image fusion
9. Classification – supervised and unsupervised
10. Accuracy assessment – correlation, RMSE and kappa
11. Knowledge based classification
12. Classification using Artificial Neural Network
13. Sub pixel classification
14. Noise removal, Vectorisation, and map compilation

Course Outcome:

On completion of the course, the student is expected to be able to

1. Understand about basic operations on the satellite image for better display of the image
2. Perform removal of unwanted information from the image and also improve the visual interpretability of the image.
3. Apply mathematical transform for the enhancement
4. Understand various classification method and also to assess accuracy of classification
5. Understand and use advanced and Intelligent classification methods life long to meet the requirement of technology development.

References:

1. Richards, Remote sensing digital Image Analysis – An Introduction , 5th Edition 2012 Springer -Verlag .
2. Robert, G. Reeves,- Manual of Remote Sensing Vol. I and II – American Society of Photogrammetry, Falls, Church, USA, 1983.
3. Richards, Remote sensing digital Image Analysis – An Introduction 5th Edition ,2012, Springer -Verlag 1993.
4. Digital Image Processing by Rafael C. Gonzalez,Richard Eugene Woods- Pearson/ Prentice Hall,2008
5. Fundamentals of Digital Image Processing by Annadurai Pearson Education (2006)

For detailed syllabus of all other subjects of Geoinformatics Engineering, 2019 regulation curriculum do visit Geoinformatics 5th Sem subject syllabuses for 2019 regulation.

For all Geoinformatics Engineering results, visit Anna University Geoinformatics all semester results direct link.