TY - CONF T1 - Geo-registration of Landsat data by robust matching of wavelet features T2 - Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International Y1 - 2000 A1 - Le Moigne,J. A1 - Netanyahu,N. S A1 - Masek,J. G A1 - Mount, Dave A1 - Goward,S. A1 - Honzak,M. KW - atmospheric techniques KW - automated mass processing/analysis system KW - chip-window pair KW - cloud shadows KW - Clouds KW - Feature extraction KW - feature matching KW - geo-registration KW - geometrically corrected scene KW - geophysical signal processing KW - Image matching KW - image registration KW - landmark chips KW - Landsat chips KW - Landsat data KW - Landsat-5 data KW - Landsat-7 data KW - overcomplete wavelet representation KW - pre-processed scenes KW - radiometrically corrected scene KW - REALM KW - Remote sensing KW - robust matching KW - robust wavelet feature matching KW - scenes KW - statistically robust techniques KW - sub-pixel accuracy registration KW - wavelet features KW - Wavelet transforms KW - window AB - 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 JA - Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International VL - 4 M3 - 10.1109/IGARSS.2000.857287 ER -