LF-IRMAT · Optimisation and exploitation of linear features for image registration and matching
FP6 — Marie Curie Actions (Human Resources and Mobility)
- Duration
- 2006-09-22 → 2007-08-21
- EU contribution
- €146,366
- Participants
- 1
- Scheme
- IIF
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Results in brief
Final Activity Report Summary - LF-IRMAT (Optimization and exploitation of linear features for image registration and matching)
There is great interest in the European Community in generalising and standardise remote sensing data treatment, as is underlined by the activities of the EuroSDR and some of the projects being supported by the ESA. Geometric modelling and multi-sensor image fusion are to the benefit of basic information generation for infrastructure development, cartography, environmental monitoring, precision agriculture, mobile communication, transport and many other sectors on global level with increasing demand of spatial data. Satellite image registration is one of the highlighted research topics in the last few years especially after the launch of several commercial high-resolution satellites. This is due to the absence of sensor calibration and satellite orbit information for most of the new high-resolution satellites. In dealing with this problem, the use of several point-based mathematical models is investigated and the effects of different factors that might affect the image registration process are studied. Appropriate empirical forms of mathematical models have been also proposed and procedures for the use of these empirical models have been recommended. Combined with the use of point-based empirical mathematical models, the availability of defining linear features either by scanning/digitising existing hardcopy maps or by a terrestrial mobile mapping systems raises the importance of using such features as control features for satellite image registration, especially when GCPs do not exist or are difficult to be located. Build on that, the line based transformation model (LBTM) which can deal with linear features only, and/or linear features with number of ground control points is developed by the project researcher. The model is tested and consolidated through this project which helps in advancing the technology of information generation from remote sensing in particular where traditional methods of image registration cannot provide adequate support.
Data: CORDIS, © European Union
Project objective
There is rapidly increasing interest in the application of satellite/airborne-based remote sensing in the globe, and a changeover from manual techniques of data collection to digital automated techniques is under way. Therefore, integration between image s captured from old and new earth observation systems is crucial issue because this integration will provide the information society by a very useful tool for many applications. This proposed research project is focused on the exploitation of linear features, instead of point features which may not be exist or difficult to be achieved, to develop a generic technique for image registration and matching. This technique will contribute to multi-sensor image matching, LIDAR image matching, and registration of high-resolution satellite images. To meet the need for a generic model, this proposed project is an extension to the research project in which a new model named Line-Based Transformation Model (LBTM)" was developed.The research will investigate the performance of the LBTM for image-to-image and image-to-map registration, and further steps will be taken to improve the LBTM for image matching. The approach of this research will involve three main phases: First, verification of the use of the LBTM for registration of different types of images; second, modification of the LBTM for multi-sensor and LIDAR image matching; third, evaluation and optimisation for application cases. Generally, the work proposed in this research will provide a step forward to maximize the benefits of using data from different sources and it will help to develop the process of map production and map updating. Several applications will get direct benefit from the project, some of which are: applications of fast-response to disaster map ping, monitoring of environment, urban growth and change detection."
Original text from CORDIS.
Participants
- CONSORCI INSTITUT DE GEOMÀTICA · CASTELLDEFELSCoordinatorCity levelSpain
Links
Data: CORDIS, © European Union