Digital Image Classification

Digital image classification using ERDAS to identify the Land-use

1. Add your raster image and the google image of the same area to identify the land use, then Raster - Supervised- Signature Editor 

2. Then go to Drawing and then you can select either Grow, polygon, line as you prefer, and select 

area by looking at the google image, the add it to the signature editor and change colors as you preferred. 

3. Add as much as possible to get a more accurate result, the save the Signature editor. 

4. Then Go to Supervised- Supervised Classification 

5. Then as a input image add your image and as a signature editor select your saved editor, then as a Non-peramatic Rule assign as a Feature Space, keep other details default. "OK"

6. Add your classified image 

Geo-reference Satellite Images

How to Geo-reference Digital Images using ERDAS  

1. Open ERDAS - Add raster layer (Image)

2. Raster - Multispectral - Control points 

3. Select Polynomial 

4. Select Image Layer 

5. Then select reference image which you use to Geo-reference the image

6. Close the Window

7. Then select a place when you can find in both images, and add control Points (GCP)

8. Then add at-least add for GCP - Check the RMS error in the table, and make sure its under 1. 

9. Select "Display Resample Image Dialog" 

10. Save your out put and set the parameter as in the image

11. wait till you get 'Done' message