Geo-registration of Landsat data by robust matching of wavelet features

Jacqueline Le Moigne, Nathan S. Netanyahu, Jeffrey G. Masek, David M. Mount, Samuel Goward, Miroslav Honzak

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations


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 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.

Original languageEnglish
Number of pages3
StatePublished - 2000
Externally publishedYes
Event2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000) - Honolulu, HI, USA
Duration: 24 Jul 200028 Jul 2000


Conference2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000)
CityHonolulu, HI, USA


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