Abstract/Description
Remote sensing encounters different types of objects with similar spectral signatures. Multi-sensors form the solution of the problem with spectral different parts of the spectrum and the resulting information is then processed using digital signal processing techniques. Artificial neural networks provide another method for processing this information. The research describes how neural networks may be used to classify objects on the basis of their spectral response to different frequencies.
Location
Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan
Session Theme
Poster Session A: Artificial Intelligence [AI-1]
Session Type
Poster Session
Session Chair
Dr. Arshad B. Siddiqui
Start Date
28-8-2005 11:40 AM
End Date
28-8-2005 12:00 PM
Recommended Citation
Aejaz, E. H. (2005). Poster Session A: Use of Neural Networks in Multi-Sensor Fusion for Remote Sensing Applications. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2005/2005/11
Poster Session A: Use of Neural Networks in Multi-Sensor Fusion for Remote Sensing Applications
Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan
Remote sensing encounters different types of objects with similar spectral signatures. Multi-sensors form the solution of the problem with spectral different parts of the spectrum and the resulting information is then processed using digital signal processing techniques. Artificial neural networks provide another method for processing this information. The research describes how neural networks may be used to classify objects on the basis of their spectral response to different frequencies.
