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Advanced Remote Sensing
Abbreviation: 48IA01Load: 30(L) + 0(P) + 0(FE) + 0(LE) + 0(S) + 0(PEE) + 0(E) + 30(DE)
Lecturers in charge: doc. dr. sc. Andrija Krtalić
Course description: This course is designed to advance the knowledge acquired in the basic course on Remote sensing (RS).
- Spatial, spectral, radiometric, temporal resolution. Modulation transfer function (MTF) of the imaging system. Minimal recognisable contrast, minimal recognisable temperature difference.
- Calibration of satellite images, aerial images and data. Atmospheric correction.
- Recconaissance and surveillance. Image quality measure (IQM), interpretability rating NIIRS.
- Basic methods of the data fusion. Criteria for quality control of the fusion. Fusion at the pixel level, at the level of features, at the level of decisions.
- Object based versus to pixel based feature enhancement and extraction, classification methods.
- Quality control of the unsupervised, supervised classification, of the interactive feature mapping. Dendrogram, scattering diagram, coocurrence matrix, confusion matrix, user?s acuraccy, producer?s acuraccy, omission errors, commission errors.
- Specific characteristic and methods of interpretation of SAR images and data. Polarimetric and interferometric synthetic antenna radar (SAR).
- Specific methods of imaging and interpretation of multispectral, hyperspectral and thermal infrared images.
- Use of programme tools for RS.
Lecture languages: - - -
Compulsory literature:
1. M. Bajić, Remote sensing, bilješke za predavanja
2. D. A. Landgrebe, Signal theory methods in multispectral remote sensing, 2003, Wiley, John & Sons, Incorporated, ISBN-13: 9780471420286
3. K. Navulur, Multispectral image analysis using the object-oriented paradigm, CRC Press, Taylor & Francis Group, Boca Raton, ISBN-13:978-1-4200-4306-8
4. J.C. Leachtenauer, R.G. Driggers, 2001., Surveillance and reconnaissance Imaging System, Artech House, Boston, 2001.
5. D.L. Hall, J.L. Llinas, 2001., Handbook of multisensor data fusion, CRC Press Boca Raton, London, New york, Washington D.C., 2001, chapters 4, 5, 6, 26, 20.
6. R.G. Congalton, K. Green, 1998., Assessing the accuracy of remote sensed data: principles and practics, Lewis Publishers, Boca Raton, 1998.
7. Lillesand, T.M.; R.W. Kiefer, and J.W. Chipman (2003). Remote sensing and image interpretation, 5th ed., Wiley. ISBN 0-471-15227-7.
8. Jensen, J.R. (2007). Remote sensing of the environment: an Earth resource perspective, 2nd ed., Prentice Hall.
Recommended literature:
9. Gerald C.Holst, Testing and evaluation of infrared imaging systems, JCD Publishing Co., Maitland, Florida, 1993.
10. J.P. Kerekes, D.A. Landgrebe, 1989., Modeling, simulation, and analysis of optical remote sensing systems, TR-EE 89-49, August 1989, School of Electrical Engineering, Purdue University, West Lafayette, Indiana 47907.
11. N.B. Nill, B.H. Bouzas, 1999., Objective Image Quality Measure Derived from Digital Image Power Spectra, OPTICAL ENGINEERING, April 1992, Vol. 31, No.4, pp. 813 ? 825.
12. Campbell, J.B. (2002). Introduction to remote sensing, 3rd ed., The Guilford Press. ISBN 1-57230-640-8.
13. Richards, J.A.; and X. Jia (2006). Remote sensing digital image analysis: an introduction, 4th ed., Springer. ISBN 3-540-25128-6.
14. Internetski izvori: http://rst.gsfc.nasa.gov/start.html http://ccrs.nrcan.gc.ca/resource/tutor/fundam/index_e.php
L - Lectures
P - Practicum
FE - Field exercises
LE - Laboratory exercises
S - Seminar
PEE - Physical education excercises.
E - Exercises
DE - Design exercises
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2018-10-09