RS4202 Satellite Image Processing Syllabus:

RS4202 Satellite Image Processing Syllabus – Anna University PG Syllabus Regulation 2021

OBJECTIVE:

 The objective of the course is to describe about the procedure of satellite data acquisition and analysis.

UNIT I FUNDAMENTALS

Satellite systems and data – acquisition – storage – orbits – Data formats –Data products – Image processing system – factors to be considered- Image display systems – Image sampling and quantization – Basic relationship between pixels.

UNIT II SENSOR AND DATA MODEL

Sensor model – pixel characters – Image formation – Histogram -Types- Uni-variate & multi-variate image statistics – spatial statistics – Image registration and ortho rectification – Geometric and radiometric correction – noise models.

UNIT III IMAGE ENHANCEMENTS

Spectral signatures – Image characteristics, feature space scatterogram- point, local and regional operation – contrast, spatial feature and multi image manipulation techniques – Fourier transform – principle component analysis – Optimal Rotation Transformation – Scale-space transform, wavelet transform. multi-image fusion

UNIT IV THEMATIC CLASSIFICATION

Training sites – Supervised, Unsupervised and Hybrid classifiers -– Baye’s Theorem – parametric Classification – Decision tree – other Non-parametric classifiers – sub-pixel and super-pixel classification – Hyper-spectral image analysis – Accuracy assessment.

UNIT V FEATURE EXTRACTION

Pattern recognition – boundary detection and representation – textural and contextual analysis – decision concepts: Fuzzy sets – evidential reasoning – Expert system concepts – Artificial Neural Network – Object based methods – recent trends- Case studies.

OUTCOMES:

On completion of the course, the student is expected to be able to
CO1 Gain knowledge about basic requirement of satellite image processing
CO2 Understand knowledge about Degradation in satellite image and also to restore it for further processing.
CO3 Perform various image Enhancement techniques to improve the visual Interpretability of the image.
CO4 Gain knowledge about classification of the satellite image using various method and also evaluate the accuracy of classification.
CO5 Implement the advanced image classification methods and conduct life long research in the field of image processing.

REFERENCES:

1. John R. Jensen, Introductory Digital Image Processing: A Remote Sensing Perspective, 4th Edition, 2017.
2. Robert Shcowebgerdt, Remote sensing models & methods for image processing, Academic Press , 2012.
3. John A.Richards, Springer – Verlag, Remate Sensing Digital Image Analysis 5th Edition, 2013..
4. Digital Image Processing (4th Edition) Rafael C. Gonzalez, Richard E. Woods Prentice Hall, 2018, 4th edition.
5. W.G.Rees – Physical Principles of Remote Sensing, Cambridge University Press, 2nd edition, 2001.
6. Fundamentals of Digital Image Processing by Annadurai Pearson Education (2016)
7. Digital Image Processing: PIKS Scientific Inside by William K. Pratt 4th Edition,Wiley Interscience,2007.