Earth observation from space has provided mankind and its decision makers with new global perspective of its environment. Protection of the environment will certainly be one of the greatest challenges in the 21st century. Remote sensing data gathered from air borne and space borne sensor systems are one of the starting points for preparing tools for gaining a better understanding of its complex interactions between the atmosphere, oceans, ice regions and land surfaces on one hand and the population with its various activities on the other hand. Recent developments in sensor technology coupled with wireless network technology have given a new dimension to the word ‘remote sensing’. Remote sensing by deployment of thousands of sensors in fields to gather data for remote monitoring, control or other decision making process can now be put under the purview of remote sensing. There are immense possibilities for integrating data obtained from satellite based sensing and ground based measurements using cheap sensors deployed in the field.

This course aims at developing manpower in this highly interdisciplinary area. The forecast for such manpower requirements is large and fall short of the current requirements. Remote sensing and wireless sensor networks as a scientific discipline, depends on field measurements, computer vision, adhoc wireless networks, analysis and cognition systems. It has great strategic importance from the point of view of defense, natural calamities, space exploration and non-destructive testing. It is also applied in agriculture, marine and geological explorations, weaponry, transportation and health monitoring of machines, structures and livestock.

The basic course starts with a strong foundation in mathematics. It is strengthened by courses in remote sensing, image processing, pattern recognition and specific courses on sensor technology, wireless networking and geographical information systems.

Electives offered, to additionally gain insight into optics are microwave engineering and topics like animal vision systems. They also include some powerful mathematical tools like level set, computational electromagnetic and measurement techniques.

Duration of the Course: Two years

Eligibility Criteria : B.E./B.Tech degree with Minimum 60% marks or equivalent grade in any branch of Engineering or equivalent or M.Sc.Maths / Physics / Computer Science (60% minimum).

Course of Study

Core Courses Electives
Computational Linear Algebra and its Applications Satelite Remote Sensing Astrodynamics
Image Processing Methods for Remote Sensing Adaptive Digital Signal Processing using FPGA

Computational Optimization Theory - Linear & Non- linear Methods

Hyper Spectral Imaging Systems
Advanced Data Structures and Algorithms Biochemical Sensors and Applications
Principles of Remote Sensing

Signal Processing and Optimization for Transceiver Systems

Wavelet Theory and Pattern Classification

Compressed Sensing in Communication and Radar Systems

Probability and Graphical Methods

Control and Design of Small Unmanned Aerial Vehicles

Measurement Techniques in Remote Sensing  

Geographical Information Systems and Global Positioning Systems: Principles and Applications

Minor Project  
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