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Pearl River Community College Workforce Development Center Class: ERDAS IMAGINE 8.6 Cost: $75.00

Pearl River Community College Workforce Development Center Class: ERDAS IMAGINE 8.6 Cost: $75.00 Dates: Sept. 17-18 Location: Stennis Space Center Room Building 1103 Visualization Lab Start : 8:30 am.

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Pearl River Community College Workforce Development Center Class: ERDAS IMAGINE 8.6 Cost: $75.00

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  1. Pearl River Community College Workforce Development Center Class: ERDAS IMAGINE 8.6 Cost: $75.00 Dates: Sept. 17-18 Location: Stennis Space Center Room Building 1103 Visualization Lab Start : 8:30 am Contact : Scott Blouin Remote Sensing Training and Education 5448 Highway 49 S. Hattiesburg, MS 39401 601-554-5528 Fax: 601-554-5550 E-Mail: sblouin@prcc.edu ERDAS Imagine 8.6 This two-day course introduces students to read, process and analyze multispectral and hyperspectral remote sensing data using ERDAS’ Imagine processing software. Included instruction will include Dataset Preparation Techniques, Transforming the Dataset and Advanced Classifications or “Cluster Busting”and Managing the Raster Information. Pearl River Community College Workforce Development Center Thinking about training?

  2. 1) Short Introduction to ERDAS IMAGINE • Purpose of the class (Getting more out of the imagery with conventional means) • 2) Dataset Preparation Techniques (Hands-on) • Data imports overview  • Georeferencing • Image subsets (spatial & spectral) • Questions and answers •  3) Transforming the Dataset (Hands-on)  • General (on-the-fly) transformations and uses • Advanced Layer Stacking • Dataset results with unsupervised classification algorithms • Questions and Answers • Day 2 (Thur. 18):1) Advanced Classifications or "Cluster Busting" (Hands-on) • Acquiring class signatures through Areas of Interest (AOIs)  • Supervised classification algorithms for Signature Stacking • Dataset results using the ISODATA method • Questions and answers •  2) Managing the Raster Information (Hands-on)  • Interpreting the classes • Recoding classes • Masking image information • Vectorizing the Information • Questions and answers

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