DocumentCode :
2103468
Title :
Robust matching of wavelet features for sub-pixel registration of Landsat data
Author :
Moigne, Jacqueline Le ; Netanyahu, Nathan S. ; Masek, Jeffrey G. ; Mount, David M. ; Goward, Samuel N.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
706
Abstract :
For many Earth and space science applications, automatic geo-registration at sub-pixel accuracy has become a necessity. In this work, we are focusing on building an operational system, which will provide a sub-pixel accuracy registration of Landsat-5 and Landsat-7 data. The input to our registration method consists of scenes that have been geometrically and radiometrically corrected. Such preprocessed scenes are then geo-registered relative to a database of Landsat chips. The method assumes a transformation composed of a rotation and a translation, and utilizes rotation- and translation-invariant wavelets to extract image features that are matched using statistically robust feature matching and a partial Hausdorff distance metric. The registration process is described and results on four Landsat input scenes of the Washington, D.C., area are presented
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; image registration; terrain mapping; wavelet transforms; Hausdorff distance metric; IR; Landsat; Landsat-5; Landsat-7; feature extraction; geo-registration; geophysical measurement technique; image registration; infrared; land surface; multispectral remote sensing; robust feature matching; robust matching; sub pixel registration; subpixel accuracy; terrain mapping; visible; wavelet feature; wavelet method; Data mining; Feature extraction; Geoscience; Image databases; Layout; Radiometry; Remote sensing; Robustness; Satellites; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.976609
Filename :
976609
Link To Document :
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