Remote Sensing and Digital Image Processing of Satellite Data (English)

   Monday, May 17, 2021   

Starting a new Lecture Notes Series on Remote Sensing and Digital Image Processing of Satellite Data

Youtube Lecture Playlist Credits 

Channel Name: IIT Roorkee July 2018

So Let Us Start to This Journey of Learning
Remote Sensing and Digital Image Processing of Satellite Data
By Lecture Notes together!

Lecture Description of this above Topic:

Lecture 1: Remote Sensing and Digital Image Processing of Satellite Data

Lecture 2: What is satellite based remote sensing?

Lecture 3: Development of remote sensing technology and advantages

Lecture 4: Different platforms of remote sensing

Lecture 5: EM spectrum, solar reflection and thermal emission remote sensing

Lecture 6: EM radiation with atmosphere including atmospheric scattering, absorption and emission

Lecture 7: EM radiation with ground, spectral response curves

Lecture 8: Principles of image interpretation

Lecture 9: Multi-spectral scanners and imaging devices

Lecture 10: LANDSAT, IRS, Cartosat, ResourceSat etc. sensors

Lecture 11: Image characteristics and different resolutions in Remote Sensing

Lecture 12: Image interpretation of different geological landforms, rock types and structures

Lecture 13: Remote Sensing integration with GIS and GPS.

Lecture 14: Georeferencing Technique

Lecture 15: Basic image enhancement techniques

Lecture 16: Spatial filtering techniques

Lecture 17: Image classification techniques

Lecture 18: InSAR Technique and its applications

Lecture 19: Hyperspectral Remote Sensing

Lecture 20: Integrated applications of RS and GIS in groundwater studies

Lecture 21: Limitations of Remote Sensing Techniques

Lecture 22: What is a remote sensing image and how it is represented?

Lecture 23: Different techniques of Image acquisition

Lecture 24: Why is digital image processing important?

Lecture 25: Image characteristics and different resolutions in Remote Sensing

Lecture 26: EM spectrum, solar reflection and thermal emission remote sensing

Lecture 27: Colour representations and transforms

Lecture 28: Image Histograms and statistics

Lecture 29: Geometric transformations /Georeferencing Technique

Lecture 30: Image enhancement techniques –I

Lecture 31: Image enhancement techniques -II

Lecture 32: Multispectral transforms: scatter plot, principal component analysis and decorrelation stretch

Lecture 33: Spatial filtering techniques

Lecture 34: Frequency domain - Fourier transformation

Lecture 35: Basic Image Compression techniques and different image file formats

Lecture 36: Image classification techniques

Lecture 37: Principles of image interpretation

Lecture 38: SAR Interferometry (InSAR) Technique

Lecture 39: Image merging and mosaicking techniques

Lecture 40: Applications of Image Analysis

Lecture 41: Limitations and future of Digital Image Processing Technique