GIS 4035L - Lab 5: Unsupervised & Supervised Classification

 Hello everyone! For this week's lab we decided to take a focus on classifying satellite imagery using an unsupervised classification in ERDAS, accurately classify images of different spatial and spectral resolutions, manually reclassify and recode images to simplify the data, create spectral signatures and AOI features, recognize and eliminate spectral confusion between spectral signatures, and classify satellite imagery using a supervised classification in ERDAS. These objective were then taken to create our own classifications and recode them to create a reclassified map. The map below showcases the reclassification of Germantown, MD.


Comments

  1. danishDecember 15, 2021 at 9:21 PM

    I Like to add one more important thing here, The global GIS market is expected to be around US$ 12.20 Billion by 2025 at a CAGR of 9% in the given forecast period.

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