Title :
Geo-registration of Landsat data by robust matching of wavelet features
Author :
Moigne, Jacqueline Le ; Netanyahu, Nathan S. ; Masek, Jeffrey G. ; Mount, David M. ; Goward, Samuel ; Honzak, Miroslav
Author_Institution :
Appl. Inf. & Sci. Branch, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The goal of our project is to build an operational system, which will provide a sub-pixel accuracy registration of Landsat-5 and Landsat-7 data. Integrated within an automated mass processing/analysis system for Landsat data (REALM), the input to our registration method consists of scenes that have been geometrically and radiometrically corrected, as well as pre-processed for the detection of clouds and cloud shadows. Such pre-processed scenes are then geo-registered relative to a database of Landsat chips. This paper describes our registration process, including the use of a database of landmark chips, a feature extraction performed by an overcomplete wavelet representation, and feature matching using statistically robust techniques. Knowing the approximate longitudes and latitudes of the four corners of the scene, a subset of chips which represent landmarks included in the scene are extracted from the database. For each of these selected landmark chips, a corresponding window is extracted from the scene, and each chip-window pair is registered using our robust wavelet feature matching. First results and future directions are presented in the paper
Keywords :
atmospheric techniques; clouds; feature extraction; geophysical signal processing; image matching; image registration; remote sensing; wavelet transforms; Landsat chips; Landsat data; Landsat-5 data; Landsat-7 data; REALM; automated mass processing/analysis system; chip-window pair; cloud shadows; clouds; feature extraction; feature matching; geo-registration; geometrically corrected scene; landmark chips; overcomplete wavelet representation; pre-processed scenes; radiometrically corrected scene; robust matching; robust wavelet feature matching; scenes; statistically robust techniques; sub-pixel accuracy registration; wavelet features; window; Clouds; Computer science; Image registration; Image sensors; Layout; Nonlinear distortion; Remote sensing; Robustness; Satellite navigation systems; Spatial databases;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.857287