Advanced Principles of Remote Sensing

Paper Code: 
RES331
Credits: 
3
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 
On completion of this course, the students will be able to  understand the physics of the Remote Sensing, and topics like radiation laws of planck, stefans-Boltezman and Kirchoffs laws. They will gain the knowledge of sensors used in IRS , also they will get to know about different types of resolution. Students will understand fundamentals of image interpretation and will know by which tools it can be done.
 In this paper of Remote Sensing students will introduce with the Digital Image processing, also their principal components. They will understand the skill of Image classification
18.00
Unit I: 
Physics of Remote Sensing- Electromagnetic Radiation and its Quantities- Radiant Energy- Radiant Flux- Irradiance- Exultance- Solid angle Unit- Radiant intensity, Radiance Spectral Quantities- Radiation laws- Plancks, Stefans- Boltezman and Kirchoffs Laws.
 
18.00
Unit II: 

Whisk Broom and Push Broom- sensors used in IRS- Landsat- spot satellite, Resolution: spatial, spectral, temporal and radiometric.

18.00
Unit III: 

Fundamental of Image interpretation: Image interpretation key.

18.00
Unit IV: 
Digital Image Processing: pre-possessing, geometric and radiometric corrections, contrast starching, principle component and analysis and filtering.
 
18.00
Unit V: 

Image Classification: Supervised and unsupervised. Accuracy assessment

Essential Readings: 
 Cracknell, A and Hayes, L. (1990): Remote Sensing Year Book, Taylor and Francis, London.
 Curran Campbell, J. B. (2002): Introduction to Remote Sensing. 5th edition. Taylor and Francis, London.
 Cracknell, P.J. (1985): Principles of Remote Sensing, Longman, London.
 Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of Science, Bangalore.
 Floyd, F. and Sabins, Jr. (1986): Remote Sensing: Principles and Interpretation,W.H.Freeman, New York.
 Guham, P. K. (2003): Remote Sensing for Beginners. Affiliated East-West Press Private Ltd., New Delhi.
 Lillesand, T.M. and Kiefer, R.W. (2000): Remote Sensing and Image Interpretation. 4th edition.
 Hallert, B. (1960): Photogrammetry, McGraw Hill Book Company Inc., New York.
 
Academic Year: 
2023-2024