MUSIP MULTISENSOR IMAGE-PROCESSING SYSTEM

The MuSIP Multi-Sensor Image Processing project has developed a proof-of-concept software demonstrator for the fusion and analysis of images within a knowledge-based environment. The target applications are the analysis of remotely sensed satellite images for the monitoring of forestry, and the analysis of medical images of the human head. A key element has been the development of data fusion techniques for combining multi-sensor and multi-temporal images. The system architecture is generic and modular, and the system control allows automatic planning and algorithm scheduling. The system includes a spatial database manager capable of handling very large quantities of raster and vector data within a tiled-image environment, a sophisticated facility for database interrogation, a window-based user interface, and a large set of image processing algorithms. The latter include algorithms for low level processing, image interpretation, automatic image registration, data fusion, and change detection. The system has been implemented on a Sun workstation with selected low level algorithms accelerated by a transputer array.