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Self-paced Advanced

Remote sensing and Digital image processing

3(118)
1 enrolled
336 views
Trainers Rating
3(118)
Course type
Watch to learn anytime
Duration
656 min
Start
Anytime
Language
English
Views
336
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Why enroll

This course is valuable for civil engineers, planners, and geospatial professionals looking to develop skills in modern data-driven analysis. It helps learners understand satellite imagery, improve decision-making in infrastructure and environmental projects, and enhances career opportunities in GIS, remote sensing, and smart city domains.

Course details

The Remote Sensing and Digital Image Processing course introduces learners to the principles of acquiring earth data using satellite and aerial sensors and analysing it through digital image processing techniques. The course focuses on how spatial data is interpreted, enhanced, and applied in engineering, environmental, and planning projects.

SOURCE- YOUTUBE [NPTEL]

Course suitable for

Is this course for you?

Perfect for

  • You work in Telecommunication or Rail & Transport
  • You're a Geoscience / Civil & Structural professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

Before you enrol

  • Advanced level — assumes working knowledge of Geoscience
  • Self-paced video, 656 min — watch anytime
New to Geoscience? Browse beginner courses →

Ready for the next step?

Paid courses that build on what this one teaches.

Course curriculum

The course is readily available, allowing learners to start and complete it at their own pace.

20 lectures10 hr 56 min
  1. Remote-sensing Image and How it is represented.
    36 min
  2. Different Techniques of Image Acquisition.
    35 min
  3. Why is Digital Image processing Important?
    23 min
  4. Image characteristics and Different Resolutions in Remote Sensing
    38 min
  5. Electromagnetic spectrum, solar reflection, and thermal emission.
    22 min
  6. Color Representation and Transformations.
    42 min
  7. Image histograms and statistics.
    30 min
  8. Geo-referencing Techniques.
    41 min
  9. Image Enhancement Techniques part 1
    41 min
  10. Image Enhancement Techniques part 2
    16 min
  11. Multispectral Transform, Scatter Plot, Principal Component Analysis and Decorrelation Stretch.
    32 min
  12. Spatial Filtering Techniques.
    29 min
  13. Frequency Domain Fourier Transformation
    24 min
  14. Basic Image Compression Techniques and Different Image File Formats.
    44 min
  15. Image Classification Techniques
    32 min
  16. Principles of Image Interpretation.
    38 min
  17. SAR Interferometry (InSAR) Techniques.
    31 min
  18. Image Merging and Image Mosaicing Techniques.
    31 min
  19. Application of Image Analysis
    34 min
  20. Limitations and Future of Digital Image Processing.
    37 min

Key topics covered

  1. Basics of remote sensing and electromagnetic spectrum

  2. Satellite platforms and sensors

  3. Image acquisition and preprocessing

  4. Digital image enhancement techniques

  5. Image classification and interpretation

  6. GIS and remote sensing integration

  7. Applications in urban planning, transportation, and environmental studies

Opportunities that await you!

Career opportunities

Frequently asked questions

A: The correct value preserves geometric similarity so the DEM slope error stays bounded in the braking calculation. Option A drops focal length entirely, inflating GSD by two orders. Option B treats orbital imaging like a UAV camera, shrinking scale unrealistically. Option D mixes metres and millimetres, a unit slip that looks tidy but breaks dimensional consistency.

A: The selected action limits exposure by avoiding cross-pol ambiguity while preserving traceability. Option A ignores processing-chain sensitivity to polarization order. Option B is safe but fails the operational constraint of same-day commissioning without mitigation. Option C invents data that doesn't exist and hides the interface fault.

A: That element constrains elevation error propagation into gradient and deceleration margins. Option B aids audit but doesn't quantify error. Option C affects interoperability, not physics. Option D omits the vertical reference that drives braking force components.

A: Addressing galvanic couples prevents rapid loss of enclosure integrity that would corrupt image timing. Option A underplays chloride-driven attack rates. Option C presumes an impressed-current system that's not present. Option D matters long term but doesn't set first-failure risk here.

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