Name
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 |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IAI.2002.999882 | Sante Fe, NM |
Keywords | Field | DocType |
process satellite,multi-spectral images,radar image,automatic referencing,existing map,new method,different type,exact correspondence,radar information,fourier transforms,fft,radar imaging,radar images,fast fourier transform,cartography,automation,fast fourier transforms,satellites,multispectral imaging,earth,image registration | Radar,Computer vision,Radar imaging,Satellite,Pattern recognition,Computer science,Multispectral image,Road map,Fourier transform,Fast Fourier transform,Artificial intelligence,Image registration | Conference |
ISBN | Citations | PageRank |
0-7695-1537-1 | 1 | 0.41 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Araiza | 1 | 32 | 4.64 |
| Hongjie Xie | 2 | 44 | 16.62 |
| Scott A. Starks | 3 | 61 | 12.76 |
| Vladik Kreinovich | 4 | 1091 | 281.07 |