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I'd like to link 2 different images in eCognition to find the same pixels on both images. The images have same projection (geog lat/long). How can I do this?

Thank you so much

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what do u mean by two different images? either images of different locations or different resolution images? –  Sandhya Sep 10 '13 at 5:21
    
different resolution images –  Bandrush Barda Sep 10 '13 at 9:37
    
how can u compare the pixel values for two different resolution images? For example if u have 1m and 4m resolution images for the same location, one pixel in 4m image represents four pixels in 1m image. What is your requirement? –  Sandhya Sep 10 '13 at 9:42
    
anyway you can add different resolution image to eCognition; when importing the layers, check out the box near 'Use geocoding'. If this works let me know. –  Sandhya Sep 10 '13 at 9:52
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as I said in the previous comment, add the images with the option 'use geocoding' to be checked out. Make sure the projection system should be same. You can view those two images in viewer. Lets try this option. –  Sandhya Sep 26 '13 at 3:50

1 Answer 1

Maybe you follow the idea of a change detection - there are rule sets provided in ecognition community.

Description of one of the Rule Sets that are provided inside of eCognition Community: A project with both points of time (same pixels on both images) loaded is the basis, respectively the main map. Then for each point of time T1 and T2 maps are created containing only the respective image layers of either T1 or T2. The vegetation is classified on both Maps independently and synchronized with the main map. The actual change detection takes place in the main map, using the features 'Existence of sub-objects'.

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Can you explain how change detection would help, and general steps to change detection in eCognition? –  user3461 Sep 14 '13 at 12:29
    
Description of one of the Rule Sets that are provided inside of eCognition Community: A project with both points of time (same pixels on both images) loaded is the basis, respectively the main map. Then for each point of time T1 and T2 maps are created containing only the respective image layers of either T1 or T2. The vegetation is classified on both Maps independently and synchronized with the main map. The actual change detection takes place in the main map, using the features 'Existence of sub-objects'. –  nichess Sep 16 '13 at 8:14
    
Thanks, I will do it. –  nichess Sep 16 '13 at 11:45

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