RS9321 IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY ME/M.Tech REMOTE SENSING 2nd SEMESTER SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY ELECTIVE M.E/M.Tech REMOTE SENSING DEPARTMENT 2ND SEMESTER SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2010
RS9321 IMAGE PROCESSING
UNIT I SATELLITE DATA 9
Satellite systems and data – Acquisition and storage – Data formats – Data products – Image
display system – Current missions.
UNIT II SENSOR AND DATA MODEL 9
Sensor model – Resolutions – Pixel characters – Image formation – Univariate & multivariable
Image statistics – spatial Statistics – Geometric and radiometric correction – noise models
UNIT III IMAGE ENHANCEMENTS 9
Spectral signatures – Image characteristics feature space scatterogram – point, local and
regional operation – Fourier transform scale – space transform wavelet transform.
UNIT IV INFORMATION EXTRACTION 9
Image registration and – ortho rectification resampling multi-image fusion Classification – feature
extraction training – Supervised Unsupervised and Hybrid training Non – parametric and sub-pixel
classification Hyper – spectral Image analysis
UNIT V IMAGE ANALYSIS AND UNDERSTANDING 9
Pattern recognition boundary detection and representation textural and contextual Analysis
decision concepts – Fuzzy sets evidential reasoning. Expert system Artificial Neural Network
Integration of data.
L: 45 T: 0 TOTAL: 45PERIODS
REFERENCES:
1. John R. Jenson, “Introductory Digital Image Processing”, Prentice Hall Series, 1996.
2. John A. Richards, Springer- Verlag , “Remote Sensing Digital Image Analysis” 1999.
3. Rafael C. Gonzalez, “Digital image processing ( 2nd Edition)” , Prentice Hall, 2002.
RS9321 IMAGE PROCESSING
UNIT I SATELLITE DATA 9
Satellite systems and data – Acquisition and storage – Data formats – Data products – Image
display system – Current missions.
UNIT II SENSOR AND DATA MODEL 9
Sensor model – Resolutions – Pixel characters – Image formation – Univariate & multivariable
Image statistics – spatial Statistics – Geometric and radiometric correction – noise models
UNIT III IMAGE ENHANCEMENTS 9
Spectral signatures – Image characteristics feature space scatterogram – point, local and
regional operation – Fourier transform scale – space transform wavelet transform.
UNIT IV INFORMATION EXTRACTION 9
Image registration and – ortho rectification resampling multi-image fusion Classification – feature
extraction training – Supervised Unsupervised and Hybrid training Non – parametric and sub-pixel
classification Hyper – spectral Image analysis
UNIT V IMAGE ANALYSIS AND UNDERSTANDING 9
Pattern recognition boundary detection and representation textural and contextual Analysis
decision concepts – Fuzzy sets evidential reasoning. Expert system Artificial Neural Network
Integration of data.
L: 45 T: 0 TOTAL: 45PERIODS
REFERENCES:
1. John R. Jenson, “Introductory Digital Image Processing”, Prentice Hall Series, 1996.
2. John A. Richards, Springer- Verlag , “Remote Sensing Digital Image Analysis” 1999.
3. Rafael C. Gonzalez, “Digital image processing ( 2nd Edition)” , Prentice Hall, 2002.
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