Hyperspectral and Microwave Remote Sensing detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (GI8501), Category (PC), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other geo 5th sem syllabus for be 2017 regulation anna univ you can visit Geo 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for hyperspectral and microwave remote sensing is as follows.”
Course Objective:
- To introduce the concepts of remote sensing processes and its components.
- To expose the various remote sensing platform and sensors and to introduce the elements of data interpretation
Unit I
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit II
Hyperspectral Remote Sensing
Diffraction principles – field spectrum – BDRF and spectral reflectance and imaging spectrometrysensors – virtual dimensionality – Hughes phenomenon – Data reduction, Calibration and normalization -Binary encoding- thresholding – library matching.
Unit III
Hyperspectral Image Analysis
Spectral library – response functions – MNF transformation – Kalman filters- library matching, spectral angle mapper, BBMLC-spectral mixture analysis – end member extraction – spectral unmixing- MIA analysis concepts – PCF, PCA, WPCA spectral transformation – band detection, reduction and selection principles -data compression- Applications
Unit IV
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit V
Lidar
LIDAR – Principles and Properties- different LiDAR System- Space Borne and airborne LiDAR | missions – Typical parameters of LiDAR system. Data Processing – geometric correction-data quality enhancement – filtering LiDAR mapping applications – hydrology, Disaster mitigation and management
Course Outcome:
At the end of the course the student will be able to understand
- The characteristics of electromagnetic radiation and its interaction with earth features
- The types and configuration of various satellites and sensors
- The concepts of thermal and hyperspectral remote sensing and their applications
- The concept, processing of LIDAR and its applications
Text Books:
- Richards, Remote sensing digital Image Analysis-An Introduction Springer – Verlag,1993.
- Lillesand, T.M. and Kiefer R.W. Remote Sensing and Image interpretation, John Wiley and Sons, Inc, New York, 2002.
- Ulaby, F.T., Moore, R.K, Fung, A.K, Microwave Remote Sensing; active and passive, Vol. 1,2 and 3, Addison – Wesley publication company 2001
References:
- Janza, F.Z., Blue H.M. and Johnson,J.E. Manual of Remote Sensing. Vol.I, American Society of Photogrametry, Virginia, USA, 2002.
- Verbyla, David, Satellite Remote Sensing of Natural Resources. CRC Press, 1995
- Paul Curran P.J. Principles of Remote Sensing. Longman, RLBS, 2003.
- Woodhouse lain.H, Introduction to Microwave Remote Sensing Taylor and Francis 2006.
For detail syllabus of all other subjects of BE Geo, 2017 regulation do visit Geo 5th Sem syllabus for 2017 Regulation.
Dont forget to download iStudy for latest syllabus and results, class timetable and more.