Image Georeferencing & Enhancement | Supervised Image Classification in Remote Sensing
Автор: Geographyundergraduate
Загружено: 2025-05-09
Просмотров: 7
Explore the complete workflow of Image Georeferencing, Image Enhancement, and Supervised Image Classification in this hands-on GIS and Remote Sensing tutorial. 🛰️ Learn how to align satellite imagery with real-world coordinates, improve image quality, and classify land use/land cover using supervised techniques.
Perfect for Geography, Environmental Science, GIS, and Remote Sensing students or professionals.
🔍 What You’ll Learn:
Step-by-step Image Georeferencing using Ground Control Points (GCPs)
Digital Image Enhancement (Contrast Stretching, Filtering, Histogram Equalization)
Supervised Classification using training samples
Common classification algorithms (e.g., Maximum Likelihood, SVM)
Land use/land cover mapping from satellite imagery
Tools: QGIS, ERDAS Imagine, ArcGIS
📊 Use Cases: Urban sprawl analysis, forest cover change, agriculture classification, and more.
🔖
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Image georeferencing tutorial in GIS
Supervised image classification step-by-step
How to enhance satellite images
Remote sensing classification methods
Georeferencing in QGIS and ArcGIS
Satellite image processing techniques
LULC classification using supervised methods
Image enhancement in remote sensing
Ground control points for georeferencing
Maximum likelihood classification GIS
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