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Image Classification

Structured classification of imagery into usable information classes

Overview

This service classifies digital or satellite images into meaningful categories so that raw imagery becomes a decision-friendly output.

What It Is

Image classification is the process of organizing image pixels or objects into defined categories such as vegetation, water, soil, roads, or built-up areas. It transforms raw imagery into structured information that can be analyzed and interpreted easily.

Features

  • Supervised classification
  • Unsupervised classification
  • Class accuracy-oriented workflow
  • Custom class definitions based on project need
  • Map and summary output generation

What It Can Do

  • Convert satellite or digital images into clear land cover classes.
  • Perform both supervised and unsupervised classification workflows.
  • Generate classified maps for research, planning, and reporting.
  • Support object-based and category-based image interpretation.

Best Use Cases

  • Land cover mapping
  • Forest and vegetation studies
  • Urban feature identification
  • Waterbody classification
  • Image-based research analysis
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