Satellite Image Processing detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (GI8502), Category (PC), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other geo 5th sem syllabus for be 2017 regulation anna univ you can visit Geo 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for satellite image processing is as follows.”
Course Objective:
- To make the undergraduate Engineering Students understand the concepts, principles, processing of Satellite data in order to extract useful information from them.
Unit I
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Unit II
Sensor Model and Pre Processing
Image Fundamentals – Sensor model – spectral response – Spatial response – IFOV,GIFOV and GSI – Simplified Sensor Models – Sampling and quantization concepts – Image Representation& geometry and Radiometry – Colour concepts – Sources of Image degradation and Correction procedures- Atmospheric, Radiometric, Geometric Corrections- Image Geometry RestorationInterpolation methods and resampling techniques.
Unit III
Image Enhancement
Image Characteristics – Histograms – Scattergrams – Univariate and multi variate statisticsenhancement in spatial domain – global, local and colour Transformations – PC analysis, edge detections, merging – filters – convolution – LPF, HPF , HBF, directional box, cascade -Morphological and adaptive filters – Zero crossing filters – scale space transforms – power spectrum – texture analysis – frequency transformations – Fourier, wavelet and curvelet transformations.
Unit IV
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Unit V
Advanced Classifiers
Fuzzy set classification – sub- pixel classifier – hybrid classifiers, Texture based classification -Object based classifiers – Artificial Neural nets – Hebbian leaning – Expert system, types and examples – Knowledge systems.
Course Outcome:
At the end of the course the student will be able to understand
- Various components and characteristics of image processing systems
- The concepts of image geometry and radiometry and corrections
- Various types of image enhancement techniques used for satellite image processing
- The concepts of Image classification and use of various classifiers
- Various object recognisation techniques available for extraction of features
Text Books:
- John, R. Jensen, Introductory Digital Image Processing, Prentice Hall, New Jersey, 2005 3rd edition.
- Robert, A. Schowengergt, Techniques for Image Processing and classification in Remote Sensing, 1983.
References:
- Robert, G. Reeves,- Manual of Remote Sensing Vol. I and II – American Society of Photogrammetry, Falls, Church, USA, 1983.
- Richards, Remote sensing digital Image Analysis – An Introduction Springer -Verlag 1993.
- Digital Image Processing by Rafael C. Gonzalez,Richard Eugene Woods- Pearson/ Prentice Hall,2008
- Fundamentals of Digital Image Processing by Annadurai Pearson Education (2007)
For detail syllabus of all other subjects of BE Geo, 2017 regulation do visit Geo 5th Sem syllabus for 2017 Regulation.
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