Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Interactive object recognition assistance

An approach to recognition starting from target objects
: Geisler, J.; Littfass, M.

Kadar, I. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Signal processing, sensor fusion, and target recognition VIII
Bellingham/Wash.: SPIE, 1999 (SPIE Proceedings Series 3720)
ISBN: 0-8194-3194-X
Conference on Signal Processing, Sensor Fusion, and Target Recognition <8, 1999, Orlando/Fla.>
Conference Paper
Fraunhofer IITB ( IOSB) ()
interactive image interpretation; assistance system; knowledge base; target database; decision support; object recognition

Recognition of target objects in remotely sensed imagery requires detailed knowledge about the target object domain as well as about mapping properties of the sensing systems. The "art" of object recognition is to combine both worlds appropriately and to provide models of target appearance with respect to sensor characteristics. Common approaches to support interactive object recognition are either driven from the sensor point of view and address the problem of displaying images in a manner adequate to the sensing system. Or they focus on target objects and provide exhaustive encyclopedic information about this domain. Our paper discusses an approach to assist interactive object recognition based on knowledge about target objects and taking into account the significance of object features with respect to characteristics of the sensed imagery, e.g. spatial and spectral resolution. An "interactive recognition assistant" takes the image analyst through the interpretation process by indicating step-by-step the respectively most significant features of objects in an actual set of candidates. The significance of object features is expressed by pregenerated trees of significance, and by the dynamic computation of decision relevance for every feature at each step of the recognition process. In the context of this approach we discuss the question of modeling and storing the multisensorial/multispectral appearances of target objects and object classes as well as the problem of an adequate dynamic human-machine-interface that takes into account various mental models of human image interpretation.