Introduction to ERDAS IMAGINE

ERDAS IMAGINE is a powerful remote sensing software suite used for viewing, processing, and analyzing geospatial data. This course focuses on supervised classification, unsupervised classification, recode, and accuracy assessment.

• Open Image: Begin by opening the image you want to classify.
• Training Samples: Define representative training samples.
• Classifier Setup: Choose methods (Maximum Likelihood, Minimum Distance, Mahalanobis).
• Classification: Run the classification.
• Post-processing: Refine using filtering/editing.

• Open Image: Load the image.
• Clustering Algorithm: K-means or ISODATA.
• Number of Classes: Define or auto-select.
• Classification: Execute process.
• Class Refinement: Merge/split classes.

• Open Image: Load dataset.
• Recode Setup: Define rules/ranges.
• Assign New Values: Map to new classes.
• Run Recode: Execute.
• Review Output: Validate results.

• Prepare Reference Data: Ground truth or known datasets.
• Classified Image: Ready for comparison.
• Setup: Configure assessment tool.
• Comparison: Evaluate correct classifications.
• Metrics: Overall, user’s, producer’s accuracy.
• Interpretation: Analyze performance.