Title :
Automatic referencing of multi-spectral images
Author :
Araiza, Roberto ; Xie, Hongjie ; Starks, Scott A. ; Kreinovich, Vladik
Author_Institution :
NASA Pan-American Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA
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
Keywords :
cartography; fast Fourier transforms; geophysical signal processing; image registration; radar imaging; terrain mapping; FFT; automatic referencing; fast Fourier transform; geographic area; multi-spectral images; radar images; road maps; satellite images; Automation; Earth; Fast Fourier transforms; Fourier transforms; Multispectral imaging; NASA; Radar imaging; Roads; Satellites; Spaceborne radar;
Conference_Titel :
Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on
Conference_Location :
Sante Fe, NM
Print_ISBN :
0-7695-1537-1
DOI :
10.1109/IAI.2002.999882