EAN: 9781447142546

SPRINGERBRIEFS IN COMPUTER SCIENCE TWO-DIMENS...

Change detection using remotely sensed images has many applications  such as urban monitoring 
land-cover change analysis  and disaster management. This work investigates two-dimensional
change detection methods. The existing methods in the literature are grouped into four
categories: pixel-based  transformation-based  texture analysis-based  and structure-based. In
addition to testing existing methods  four new change detection methods are introduced: fuzzy
logic-based  shadow detection-based  local feature-based  and bipartite graph matching-based.
The latter two methods form the basis for a structural analysis of change detection. Three
thresholding algorithms are compared  and their effects on the performance of change detection
methods are measured. These tests on existing and novel change detection methods make use of a
total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and
their interpretations are provided.

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