Open AccessThis article is
- freely available
Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery
Signal and Communications Department, University of Las Palmas of Gran Canaria, Campus Universitario de Tafira, Edificio B de Telecomunicación, 35017 Las Palmas de Gran Canaria, Spain
* Author to whom correspondence should be addressed.
Received: 11 June 2009; in revised form: 31 August 2009 / Accepted: 3 September 2009 / Published: 8 September 2009
Abstract: Spatial registration of multidate or multisensorial images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. In this work we explore an alternative strategy for a fully automatic and operational registration system capable of registering multitemporal and multisensorial remote sensing satellite images with high accuracy and avoiding the use of ground control points, exploiting the maximum reliable information in both images (coastlines not occluded by clouds), which have been coarsely geometrically corrected only using an orbital prediction model. The automatic feature-based approach is summarized as follows: i) Reference image coastline extraction; ii) Sensed image gradient energy map estimation and iii) Contour matching, mapping function estimation and transformation of the sensed images. Several experimental results for single sensor imagery (AVHRR/3) and multisensorial imagery (AVHRR/3-SeaWiFS-MODIS-ATSR) from different viewpoints and dates have verified the robustness and accuracy of the proposed automatic registration algorithm, demonstrating its capability of registering satellite images of coastal areas within one pixel.
Keywords: image registration; feature detection; contour matching; optimization approach; multitemporal and multisensorial images
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Eugenio, F.; Marcello, J. Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery. Algorithms 2009, 2, 1087-1104.
Eugenio F, Marcello J. Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery. Algorithms. 2009; 2(3):1087-1104.
Eugenio, Francisco; Marcello, Javier. 2009. "Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery." Algorithms 2, no. 3: 1087-1104.