Interpretation of remotely sensed images in a context of multisensor fusion using a multispecialist architecture
| Autor: | Véronique Clément, Gérard Giraudon, Fadi Sandakly, Stephane Houzelle |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Synthetic aperture radar
Spatial contextual awareness Knowledge representation and reasoning Computer science business.industry Interpretation (philosophy) Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Context (language use) Object (computer science) Blackboard (design pattern) Sensor fusion Multispectral pattern recognition General Earth and Planetary Sciences Computer vision Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Geoscience and Remote Sensing. 31:779-791 |
| ISSN: | 0196-2892 |
| DOI: | 10.1109/36.239900 |
| Popis: | A scene interpretation system is presented in a multisensor fusion context the application of which involves the interpretation of remote sensed images. The authors discuss how multisensor fusion is achieved, and derive the modeling problems for objects, scene, and strategy. The proposed multispecialist architecture takes into account the knowledge about sensors, the multiple viewing notion (shot), and the uncertainty and imprecision of models and data modeled with possibility theory. Generic models of objects are represented by concepts independent of sensors. Three kinds of specialists are present in the architecture: generic specialists (scene and conflict), semantic object specialists, and low level specialists. A blackboard structure with a centralized control is used. The interpreted scene is implemented as a matrix of pointers allowing easy conflict detection and spatial context verification. An interpretation system for SAR/SPOT sensor images is described, and an example of a scene interpretation is shown. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|