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Figure 24 Matrix of image differences (pmb{mathcal{D}_{i,j}}). Matrix of image differences (mathcal{D}_{i,j}) of the four panels in Figure 23.
Apply algebraic combinations of the images and to acquire a value indicating the image differences.
To this end, AMI is firstly defined by using image differences.
Past and recent studies have identified image differences as being the most accurate change detection technique.
To this end, the gray-level AMI is defined by using image differences as follows: (1).
To this end, we first define the accumulated motion image (AMI) using image differences.
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Image difference metrics are based on a number of different ideas but are usually following a general framework.
Most applications of this type involve either image differencing or image classification using multi-temporal images.
However, at the moment, no universal image difference metric exists.
Image differencing was then performed using the pre- and post-event band-ratio image pair.
Then, the proposal starts a dynamic image analysis phase based in optical flow or image difference.
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