The proposed course provides basic understanding about digital image processing of Remote Sensing datasets / images acquired by different earth resources satellites. Presently, remote sensing datasets available from various earth orbiting satellites are being used extensively in various domains including in civil engineering, water resources, earth sciences, transportation engineering, navigation etc. Google Earth has further made access to high spatial resolution remote sensing data available to non-experts with great ease. The above course will improve understanding about overall remote sensing data processing.
INTENDED AUDIENCE
Under graduate engineering and post graduate science students It is an elective course for UG/PG.
PRE-REQUISITES
Current students of engineering students and current post graduate science students
INDUSTRIES THAT WILL RECOGNIZE THIS COURSE
Geoinformatics companies, e.g ISRO, NIIT, ESRI India, Leica Geoinformatics, MapmyIndia etc.
3643 students have enrolled already!!
COURSE INSTRUCTOR
Dr. Arun K. Saraf is Ph. D. (Remote Sensing) from University of Dundee, United Kingdom. Presently he is working as Professor in the Department of Earth Sciences, Indian Institute of Technology, Roorkee, and teaches courses on Geographic Information Systems (GIS), Advanced GIS, Remote Sensing, Geomorphology etc. to under- and post-graduate students of Geological Technology and Applied Geology. He was also Head of Department of Earth Sciences between Jan. 2012 – Feb. 2015. He was first in the country to introduce GIS course to post-graduate students in the year 1990. In 1986, he was awarded “National Fellowship to Study Abroad” by Govt. of India for his doctoral degree. Further, in 1993 he was awarded “Indo-US S&T Fellowship” and worked in Goddard Space Flight Centre, NASA, USA for Post Doctoral Research. He has been also awarded “National Remote Sensing Award-2001” by Indian Society of Remote Sensing and “GIS Professional of the Year Award-2001” by Map India 2002 for his outstanding research contributions in the fields of Remote Sensing and GIS. Earlier, he has also been given several Khosla Research Awards and Prizes by then University of Roorkee. So far Prof. Saraf has published more than 100 research papers in journals of repute (ISI) and supervised 11 Ph.Ds. He was also Associate Editor of International Journal of Remote Sensing during 2003-2015. Through funding from DST, Min. of Earth Sciences, CSIR, Prof. Saraf has been able to establish and operating NOAA-HRPT Satellite Earth Station at IITR since Oct. 2002, first in any educational institute in the country. This Earth Station is still operational and acquiring data from NOAA-18 & 19 day-and-night. Further, recently Prof. Saraf have also recorded two NPTEL video courses on Introduction to Geographic Information Systems and Introduction to Remote Sensing.
COURSE PLAN
Week-1: What is a remote sensing image and how it is represented? Different techniques of Image acquisition Why is digital image processing important? Image characteristics and different resolutions in Remote Sensing EM spectrum, solar reflection and thermal emission remote sensing
Week-3: Multispectral transforms: scatter plot, principal component analysis and decorrelation stretch Spatial filtering techniques Frequency domain - Fourier transformation Basic Image Compression techniques and different image file formats Image classification techniques
Week-4: Principles of image interpretation SAR Interferometry (InSAR)Technique Image merging and mosaicking techniques Applications of Image Analysis Limitations and future of Digital Image Processing Technique
SUGGESTED READING
1.Gonzalez, Rafael C. and Richard E. Woods “Digital Image Processing (3rd Edition)”, Pearson Education, London.
2.Lillesand, T.M., Kiefer, R.W. and Chapman, J.W., “Remote Sensing and Image Interpretation by”, (5th Ed.), John Wiley & Sons, 2007.
3.Remote Sensing and Digital Image Processing, Jarocińska, Anna, van der Meer, Freek D., Springer, 2016.
4.Drury, S. A., “Image Interpretation in Geology”, 2nd Ed, Allen & Unwin, 1993.
MORE DETAILS ABOUT THE COURSE
CERTIFICATION EXAM
The exam is optional for a fee. Exams Date: September 24, 2017 Time: Shift 1: 9am-12 noon; Shift 2: 2pm-5pm Any one shift can be chosen to write the exam for a course. Registration url: Announcements will be made when the registration form is open for registrations. The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
CERTIFICATE
Final score will be calculated as : 25% assignment score + 75% final exam score 25% assignment score is calculated as 25% of average of best 3 out of 4 assignments
E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and Indian Institute of Technology,Roorkee. It will be e-verifiable at nptel.ac.in/noc.
