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This paper proposes a new parameter based method of SAR image feature extraction and complex image information retrieval. The methodpsilas groundwork is the Fast Fourier Transform, each of the proposed parameters being built on a Fourier Transform basis. We suggest that by the use of several image bands formed of distinct spectral signatures of the original complex image, one can obtain a valid spectral...
One of the most important issue in maritime international transport is the necessity of increasing the level of safe in vesselpsilas navigation. We can achieve this goal using various methods. One of them is the enlargement and enrichment of navigational data processed by own deck computer net and external systems AIS (Automatic Identification System) and VTS (Vessel Traffic Service). The radar image...
The radar controller is a crucial, often over-looked, component of a radar system; allowing the transmitter to operate within a safe range and providing the flexibility to generate a variety of complex pulse schemes. Additionally, the radar controller provides precision timing to gate the radar systempsilas receiver(s) at regions of interest. Specifications for the design were chosen to match or exceed...
Automatic target recognition (ATR) is an important capability for defense application. ATR removes the human operator from the process of target acquisition and classification, reducing the reaction time to possible threats and can be used to gun target engagement. This paper presents one technique used to solve the automatic target recognition problem in synthetic aperture radars (SAR) images, that...
ASTRAD, which stands for architecture and simulation tool for radar analysis and design, is a powerful software platform fitted to radar techniques. It provides users with all the functions needed to model, simulate and design radar systems. Launched as a joint project between French Ministry of Defense and radar industry community, the ASTRAD software has the ambition to stand out as a reference...
The tracking of storm centres in radar data is of particular importance for short term weather prediction and specifically thunderstorm prediction. This paper presents a method to track storm centres in terrestrial radar images. Mean shift segmentation is used to outline storm centres and mean shift tracking to locate the storm in the consecutive images. Results demonstrate the ability of the method...
The fractal geometry proved to be the most appropriate mathematical instrument in describing natural scenes, by means of few effective and reliable geophysical parameters. In this paper we describe a complete processing chain for the retrieving of SAR image fractal parameters and for change detection purposes. We present an overall framework employing fractal based models, algorithms and tools to...
The coherent detection of targets in presence of clutter and noise is considered in this study. Several clutter models are proposed in the literature, although the commonly used for sea and land clutter returns is the Weibull one. Our case of study involves that the target is known a priori, the clutter is Weibull-distributed and a white Gaussian noise is present. In this case, obtaining analytical...
The ability to make radar signature databases portable for use within similar sensor systems is critical to the affordability of airborne signature exploitation systems. The capability to hybridize measured and synthetic signature database components will maximize the impact of the investment required to build complex radar signature databases. Modal mutual information is developed as a measure of...
In many advanced industrial contexts, Collaborative Working Environments (CWEs) provide interesting opportunities to improve service and maintenance procedure, significantly reducing the time to repair and the risks related to system inactivity. The ASSYST framework aims to enhance existing CWEs by developing a novel maintenance paradigm based on the integration of augmented reality technologies and...
In this study, the support vector machine (SVM) was used as a classifier to identify aerospace objects. Radar target identification based on high resolution range profiles (HRRPs) received much attention because of its reduced complexity than those using two-dimensional (2-D) ISAR images. Therefore range profiles were used as feature vectors to represent radar data. Data sets which are for training...
High-performance radar networks have been deployed for homeland security Applications. Having the radars on a network allows for increased coverage via multiple radars, as well as the communication of situational awareness in real time to multiple remote users. The radars and networks exploit commercial-off-the-shelf (COTS) technology to be easily affordable for the wide-area surveillance needed for...
This paper addresses a novel approach based on neuro-fuzzy inference system to solve the estimation problem of the K-distributed parameters. The method is based on a network implementation with real weights and the real genetic algorithm (GA) tool is applied for an off-line training of the fuzzy-neural network (FNN) shape parameter estimator. The proposed FNN estimator is based on the arithmetic and...
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