Automated image registration using morphological region of interest feature extraction

Antonio Plaza, Jacqueline Le Moigne, Nathan S. Netanyahu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

With the recent explosion in the amount of remotely sensed imagery and the corresponding interest in temporal change detection and modeling, image registration has become increasingly important as a necessary first step in the integration of multi-temporal and multi-sensor data for applications such as the analysis of seasonal and annual global climate changes, as well as land use/cover changes. The task of image registration can be divided into two major components: (1) the extraction of control points or features from images; and (2) the search among the extracted features for the matching pairs that represent the same feature in the images to be matched. Manual control feature extraction can be subjective and extremely time consuming, and often results in few usable points. Automated feature extraction is a solution to this problem, where desired target features are invariant, and represent evenly distributed landmarks such as edges, corners and line intersections. In this paper, we develop a novel automated registration approach based on the following steps. First, a mathematical morphology (MM)-based method is used to obtain a scale-orientation morphological profile at each image pixel Next, a spectral dissimilarity metric such as the spectral information divergence is applied for automated extraction of landmark chips, followed by an initial approximate matching. This initial condition is then refined using a hierarchical robust feature matching (RFM) procedure. Experimental results reveal that the proposed registration technique offers a robust solution in the presence of seasonal changes and other interfering factors.

Original languageEnglish
Title of host publicationProceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005
Pages99-103
Number of pages5
DOIs
StatePublished - 2005
Event3rd International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005 - Biloxi, MS, United States
Duration: 16 May 200518 May 2005

Publication series

NameProceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005
Volume2005

Conference

Conference3rd International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005
Country/TerritoryUnited States
CityBiloxi, MS
Period16/05/0518/05/05

Keywords

  • Automated image registration
  • Mathematical morphology
  • Multi-temporal imagery
  • Robust feature matching

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