Urban change detection related to earthquakes using an adaptive nonlinear mapping of high-resolution images

We propose a nonlinear mapping method for detecting geographical changes. In our system, two images photographed at different points of time are checked based on an iterative nonlinear mapping. The system automatically extracts feature changes of aerial imageries by computing distribution of the ima...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2004-07, Vol.1 (3), p.152-156
Main Authors: Kosugi, Y., Sakamoto, M., Fukunishi, M., Wei Lu, Doihara, T., Kakumoto, S.
Format: Article
Language:English
Subjects:
Change detection
Distributed computing
Earthquakes
Feature extraction
Image matching
Image segmentation
Iterative algorithms
Mapping
Nonlinear distortion
Nonlinearity
Pixel
Principal component analysis
Receivers
Rotational
Seismic phenomena
Vegetation mapping
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Description
Summary:We propose a nonlinear mapping method for detecting geographical changes. In our system, two images photographed at different points of time are checked based on an iterative nonlinear mapping. The system automatically extracts feature changes of aerial imageries by computing distribution of the image matching score. We evaluate the change detection ability by using the receiver operating characteristic under misregistration cases, including rotational misalignments.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2004.828917