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In this position paper, we consider the state of computer vision research with respect to invariance to the horizontal orientation of an image — what we term reflection invariance. We describe why we consider reflection invariance to be an important property and provide evidence where the absence of this invariance produces surprising inconsistencies in state-of-the-art systems. We demonstrate inconsistencies...
This paper presents a novel sensor fusion model able to combine data from Ground Penetrating Radar (GPR) and Metal Detectors (MD) in order to classify landmines in a scanned floor area. Currently, no sensor detects landmines directly: a metal detector detects landmines' metal content and a ground penetrating radar detects dielectric discontinuities in the soil, that may be generated by a buried landmine...
This paper describes a multi-sensor data-fusion approach to detect and localize landmines and unexploded ordnances (UXO) in a field using multiple mobile sensor carriers covering the area of interest. A procedure for high accuracy geo-referencing the field-data acquired by multiple platforms is proposed. Later, the geo-referenced sensor data is fused by a multi-step algorithm consisting on the detection...
This paper describes two algorithms proposed for signal analysis in a pulse induction metal detector prototype. The first algorithm is based on combining Principal Component Analysis and Continuous Wavelet Transformation in order to determine metallic object position approaches to the detector coils, and the second algorithm is based on signal filtering in order to characterize object size. These...
Metal detectors based on the eddy current principle are widely used in humanitarian demining, but their main disadvantage is the high false alarm rate caused by harmless clutter objects or ??uncooperative?? soils. In most cases, the types of mines in the field are known a-priori. So their influence on the metal detector can be measured and stored in a database. In this paper a new method is described...
The existence and characteristics of low dimensional embedded manifold of the short-time Fourier spectrum of metal target echo signal are explored using manifold learning algorithm, Laplacian eigenmaps, aiming at the disadvantages of feature extraction and selection of the traditional methods in passive millimeter-wave (MMW) metal target recognizing process. Target classification is performed through...
This paper presents some key issues in fiber-optic interferometric magnetic field sensors. Practically applicable methods to design and implement fiber-optic Michelson interferometer and transducers are described with experimental verifications. Detection scheme of traditional hardware demodulation is improved, and a new software demodulation method is addressed. Transducers were implemented by using...
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