Remote Sensing and Digital Image Processing of Satellite Data

The proposed course provides basic understanding about satellite based Remote Sensing and Digital Image Processing technologies. 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. Knowledge of Digital Image Processing of satellite data allows to process raw satellite images for various applications.
INTENDED AUDIENCE Under- / Post-graduate engineering and post graduate science students
PRE-REQUISITES Current students of engineering students and current post graduate science students
INDUSTRY SUPPORT Remote Sensing / Geoinformatics companies, e.g NIIT, ESRI India, Leica Geoinformatics, MapmyIndia etc.

COURSE LAYOUT

Week-1:What is satellite based remote sensing?Development of remote sensing technology and advantagesDifferent platforms of remote sensingEM spectrum, solar reflection and thermal emission remote sensingInteraction of EM radiation with atmosphere including atmospheric scattering, absorption and emission
Week-2:Interaction mechanisms of EM radiation with ground, spectral response curvesPrinciples of image interpretationMulti-spectral scanners and imaging devicesSalient characteristics of LANDSAT, IRS, Cartosat, ResourceSat etc. sensorsImage characteristics and different resolutions in Remote Sensing
Week-3:Image interpretation of different geological landforms, rock types and structuresRemote Sensing integration with GIS and GPSGeoreferencing TechniqueBasic image enhancement techniquesSpatial filtering techniques
Week-4:Image classification techniquesInSAR Technique and its applicationsHyperspectral Remote SensingIntegrated applications of RS and GIS in groundwater studiesLimitations of Remote Sensing Technique
Week-5:What is a remote sensing image and how it is represented?Different techniques of Image acquisitionWhy is digital image processing important?Image characteristics and different resolutions in Remote SensingEM spectrum, solar reflection and thermal emission remote sensing
Week-6:Colour representations and transformsImage Histograms and statisticsGeometric transformations /Georeferencing TechniqueImage enhancement techniques –IImage enhancement techniques -II
Week-7:Multispectral transforms: scatter plot, principal component analysis and decorrelation stretch Spatial filtering techniquesFrequency domain - Fourier transformationBasic Image Compression techniques and different image file formatsImage classification techniques
Week-8:Principles of image interpretationSAR Interferometry (InSAR) TechniqueImage merging and mosaicking techniquesApplications of Image AnalysisLimitations and future of Digital Image Processing Technique