Object Based Classification

 Extract spectral bands

The multiband imagery of the Louisville neighborhood currently uses the natural color band combination to display the imagery the way the human eye would see it. I needed to change the band combination to better distinguish urban features such as concrete from natural features such as vegetation.

The bands I extracted include Near Infrared (Band 4), which emphasizes vegetation; Red (Band 1), which emphasizes human-made objects and vegetation; and Blue (Band 3), which emphasizes water bodies.




Configure the Classification Wizard

I needed to open the Classification Wizard and configure its default parameters. The Classification Wizard walked me through the steps for image segmentation and classification.

Segment the image

For Spectral detail, replace the default value with 8.

For Spatial detail, replace the default value with 2.

For Minimum segment size in pixels, confirm that the value is 20.


Classify the imagery

1. modify the default schema to contain two parent classes: Impervious and Pervious

2. remove each of the default classes

3. add new classes with proper value

Reclassify errors



















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