Image Classification Techniques in Remote Sensing
Image Classification
Image Classification is the process of assigning individual pixels or groups of pixels in a remotely sensed image to specific land-cover or land-use categories based on their spectral characteristics. The objective is to convert image data into meaningful thematic information such as forests, water bodies, agricultural land, urban areas, and barren land.
Objectives
- Identify different land-cover types.
- Monitor environmental changes.
- Support resource management.
- Assist in urban and regional planning.
- Analyze agricultural and forest conditions.
Types of Classification
- Supervised Classification
- Unsupervised Classification
Supervised Classification
Definition
Supervised classification is a classification method in which the analyst provides... Continue reading "Image Classification Techniques in Remote Sensing" »
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