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Change Vector Analysis (CVA)
Change Vector Analysis (CVA) uses two spectral
channels to map both the: 1) magnitude of change
and, 2) the direction of change between the two
(spectral) input images for each date.
Change Detection: Methods
• Change vector
analysis
–In n-dimensional Date 1
spectral space,
nd 4 Date 2
determine length a
B
and direction of
vector between Date
1 and Date 2
Band 3
Change Detection: CVA
• No-change = 0 length
• Change direction may be
interpretable
• Pick a threshold for change
Change Vector Analysis
Band Math followed by change vector
3-D change vector
2-D change
vector
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