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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Araiza, R. Hongjie Xie Starks, S.A. Kreinovich, V. |
| Copyright Year | 2002 |
| Description | Author affiliation: NASA Pan-American Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA (Araiza, R.) |
| Abstract | In order to adequately process satellite and radar information, it is necessary to find the exact correspondence between different types of images and between these images and existing maps. In other words, we need to reference these images. Automatic methods exist for referencing satellite images. These methods are based on using a fast Fourier transform (FFT). They work well because different images of the same area differ mainly by a shift and/or by a rotation. However, these methods do not work well when we attempt to reference radar images or satellite images with a road map because the corresponding images reflect different aspects of the geographic area. We propose new methods for automatic referencing of satellite and radar images to road maps. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 21 |
| Ending Page | 25 |
| File Size | 288974 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769515371 |
| DOI | 10.1109/IAI.2002.999882 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-04-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multispectral imaging Satellites Radar imaging Spaceborne radar Fourier transforms Roads Fast Fourier transforms NASA Earth Automation |
| Content Type | Text |
| Resource Type | Article |
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