JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives

To understand different types of data models, processing of digital images,

extraction of information analysis of digital images

Course Outcomes

at the end of the course the student will able to learn processing of digital data,

its enhancement and analyzing it for required object fulfillment

UNIT - I

Sensor, Satellite Data, and Data Model: Satellite systems, Data acquisition & storage - Data formats - Data products.-Image display system. Sensor model-Resolutions - Pixel characters - Image formation.The histogram and its significance- ENTROPY and its significance -Univariate& multivariate Image statistics – Spatial Statistics.

UNIT - II

Geometric Preprocessing: Over view of Image Processing, Geometric distortion, Image registration, resampling, orthorectification – Image Mosaic.

UNIT - III

Image Enhancements: Image characteristics- Spectral signatures .contrast enhancements- Image domain filtering. first order, second order ,directional filters , linear and non linear filters, Spatial enhancement, Multiband enhancements, ratioing, indices and Principal component analysis , Point, local and regional operators - Fourier transform-Fourier domain filtering, Ideal, Butterworth and Gaussian filters; scale-space transform, wavelet transform.

UNIT - IV

Information Extraction: Classification algorithms: Non- parametric, parametric, Feature extraction, Un Supervised, training sets-Supervised methods and algorithms. Accuracy Assessment: Sources of Classification Error, Interpretation of the Error Matrix. Measurement of Classification Accuracy

UNIT - V

Image Analyses: Pattern recognition, boundary detection and representation, textural and contextual Analysis.

TEXT BOOKS:

• 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. Lillisand T.M and R.W. Kiefer (2004) 4th edition. Remote sensing and image interpretation, John Wiley & Sons, New York.
• 4. Rafael C. Gonzalez, .Digital Image Processing (2nd Edition)., Prentice Hall, 2002.
• 5. Remote sensing models and methods for Image processing. Schowengerdt 2nd edition
• 6. Remote Sensing: The Quantitative Approach edited by Swain, P.H. and Davis, S.M. McGraw Hills.

REFERENCES:

• 1. David L. Verbyla .Satellite remote sensing of Natural Resource Management., Lewis publishers, Florida
• 2. Anil K. Jain .Fundamentals of Digital Image Processing. Prentice Hall Publications, USA.
• 3. Image Analysis, Classification, and change Detection in Remote Sensing. Mortan J. Century Taylor and Francis, 2007.