Mine discrimination using multispectral imagery with feedforward neural networks

Taher Daud; Tuan A. Duong; Harry Langenbacher; Helen Tsu; Anilkumar P. Thakoor

doi:10.1117/12.211358

20 June 1995 Mine discrimination using multispectral imagery with feedforward neural networks

Taher Daud, Tuan A. Duong, Harry Langenbacher, Helen Tsu, Anilkumar P. Thakoor

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211358
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

As a precursor to hardware implementation, we have performed mine detection functions in simulation on a polarimetric hyperspectral imaging (PHI) dataset collected by using a technique of acousto-optic tunable filter (AOTF) camera. In principle, PHI data of an image containing objects of interest in a cluttered background provide significant information about the objects, including their relative sizes, shapes, orientation, and other characteristics such as light reflectance and polarization signatures based on their material properties. The present study was, however, limited only to the direct spectral data for the object of interest. A feedforward artifical neural network (ANN) architecture was programmed to recognize predefined spectral 'templates' by using a well-known, hardware implementable inner-product matching scheme. This scheme is particulartly suited to the problem of spectral discrimination where the spectra to be examined or the objects to be discriminated are uncorrelated, as in the present case. In this paper, we describe the ANN architecture and discuss its hardware implementation issues. In addition, we provide the results of our simulation study performed along with suitable preprocessing steps with various window sizes from 1 X 1 to 50 X 50 pixels, leading to an unambiguous detection of the position of mines in test runs without false alarms.

Citation Download Citation

Taher Daud, Tuan A. Duong, Harry Langenbacher, Helen Tsu, and Anilkumar P. Thakoor "Mine discrimination using multispectral imagery with feedforward neural networks", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211358

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