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Registration of RapidEye and TerraSAR-X Satellite Images Using Invariant Local Features and Non-rigid Geometric Transformations

Tahoun, Mohamed and Shabayek, Abd El Rahman and Reulke, Ralf (2015) Registration of RapidEye and TerraSAR-X Satellite Images Using Invariant Local Features and Non-rigid Geometric Transformations. GIS Ostrava 2015, Surface models for geosciences, 26.-28. Jan. 2015, Ostrava, Czech Republic. (In Press)

Full text not available from this repository.

Abstract

In this paper, a feature-based method for registering Rapid-Eye and Pleiades optical images with TerraSAR-X radar images is presented. Both feature extraction and matching stages are still key issues when manipulating and processing remote sensing data for many applications like change detection and land use. Different blob, corner and scale based feature detectors have been tested during the keypoint extraction, descriptor construction and matching processes. A sub-sampling process is proposed in order to control the number of extracted keypoints from both optical and radar images for a real time processing with high resolution satellite images. After getting the pairwise matches between the input images, a full registration process is followed by applying image transformation (warping) and finally blending and compositing the registered version. A speckle noise removal techniques are performed on TerraSAR-X radar images as a pre-processing in order to reduce the number of false detections. The results showed a good performance for some of the detectors including SURF, Harris and FAST on optical and radar images. The tested optical and radar images are in different spatial resolutions and covering the area of Berlin Brandenburg airport.

Item URL in elib:https://elib.dlr.de/95038/
Document Type:Conference or Workshop Item (Speech)
Title:Registration of RapidEye and TerraSAR-X Satellite Images Using Invariant Local Features and Non-rigid Geometric Transformations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tahoun, MohamedDepartment of Computer Science, FCI, Suez Canal University, Ismailia, EgyptUNSPECIFIED
Shabayek, Abd El RahmanDepartment of Computer Science, FCI, Suez Canal University, Ismailia, EgyptUNSPECIFIED
Reulke, RalfInstitut für Optische SensorsystemeUNSPECIFIED
Date:2015
Refereed publication:Yes
Open Access:No
In DOAJ:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 653-660
Status:In Press
Keywords:SURF; SIFT; GFTT; feature extraction and matching; satellite image co-registration
Event Title:GIS Ostrava 2015, Surface models for geosciences
Event Location:Ostrava, Czech Republic
Event Type:international Conference
Event Dates:26.-28. Jan. 2015
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Sensorik - Theorie, Kalibration, Verifikation
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Optik, Kalibrierung und Validierung
Deposited By: Reulke, Prof. Dr. Ralf
Deposited On:09 Feb 2015 07:16
Last Modified:09 Feb 2015 07:16

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