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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schmitt, A. Wessel, B. Roth, A. |
| Copyright Year | 2009 |
| Description | Author affiliation: German Aerospace Center (DLR) German Remote Sensing Data Center (DFD), D-82234 Wessling (Schmitt, A.; Wessel, B.; Roth, A.) |
| Abstract | In this article we present a technique for fast and robust change detection based on the curvelet transform. The curvelet transform is a two dimensional further development of the well-known wavelet transform that reconstructs the original image by ridge-like features, called ridgelets, in different scales, directions and positions. Geocoded SAR amplitude images from TerraSAR-X are compared by differentiating the coefficients of both images in the curvelet coefficient domain. Before the difference image is transformed back to the spatial domain, the influence of the single ridgelets on the resulting image can be manipulated to suppress noise and to intensify structures. Two examples were chosen to show the potential of this approach: a construction site in Germany and an open cast mining area in Chile. Our prototype version is able to compare time series without any interaction of an operator so that the implemented algorithms can easily be embedded into an automatic processing chain. |
| File Size | 1728842 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417963 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Image enhancement Wavelet transforms Urban areas Filters Remote sensing Noise reduction Image segmentation Design for disassembly Robustness Synthetic aperture radar Radar applications Time series |
| Content Type | Text |
| Resource Type | Article |
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