Title

Poster Session A: Use of Neural Networks in Multi-Sensor Fusion for Remote Sensing Applications

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

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Aug 28th, 11:40 AM Aug 28th, 12:00 PM

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.