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Digital Image Processing in Remote Sensing

A Digital Image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels.

Pixel values typically represent gray levels, colours, heights, opacities etc. Digitization implies that a digital image is an approximation of a real scene.

Digital Image Processing in Remote Sensing

Digital image processing focuses on 2 major tasks

  • Improvement of pictorial information for human interpretation
  • Processing of image data for storage, transmission and representation for autonomous machine perception

The continuum from image processing to computer vision can be broken up into low-, mid,- and high-level processes

Low Level Process
Input – Image
Output – Image
Examples – Image sharpening, Noise removal
Mid Level Process
Input – Image
Output – Attributes
Examples – Segmentation, object recognition
High Level Process
Input – Attributes
Output – Understandings
Examples – Scene understanding, Autonomous navigatiion

Key Stages in Digital Image Processing

  • Image Restoration
  • Morphological Processing
  • Image Enhancement
  • Image Acquisition
  • Image Compression
  • Segmentation
  • Object Recognition
  • Representation & Description
  • Colour Image Processing

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