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In this paper, we present a new segmentation algorithm based on subband decomposition for SAR images. The decomposition of the SAR images into subband images is performed by 2D four channel non separable filter bank having lattice structure. The four channel filter bank with lattice structure has perfect reconstruction property, while it guarantees good stop band attenuation for each of the analysis...
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...
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...
The use of adaptive techniques may prove useful in the processing of radar signals. The proposed radar clutter classificator is aimed to improve the detection of snow clutter presence in data acquired by a ground radar system in an air traffic control environment. The classifier receives as input a set of features which describe the appearance of the same plot in two consecutive scans of the ground...
This work uses ordinary X-band marine radars to extract directional wave spectra and their related sea state parameters, as well as speed and direction of ocean surface currents, including tidal information. The used method analyzes the structure in frequency and wave number vector of the image spectra derived from of temporal sequences of marine radar images of the sea surface acquired by a marine...
Automatic target recognition (ATR) performance evaluation has become an important subject in ATR theory community since the last two decades. The extended operation condition (EOC) and system cost are two key aspects in ATR performance evaluation. For the situation of air-to-ground (A-G) ATR using high range resolution (HRR) data, this paper analyzes the influence of target type number on ATR system...
Scope of the paper is to describe a technique to improve the multifunctional radar capabilitiesof tracking and classification of non-cooperative targets. The result is achieved by joining together the following two functions: (i) a tracker architecture based on Interacting Multiple Model approach and (ii) the processing of large bandwidth (either synthetic or instantaneous) signals to form Medium...
This paper demonstrates the usefulness of an ultra wideband target recognition method in the case of realistic and complicated target geometries at resonance region. The method utilizes the MUSIC algorithm to extract the natural resonance-related scattering features of targets. The resulting features give the power distribution maps of targets. These maps are called as fused MUSIC spectrum matrices...
This paper deals with the problem of automatic target recognition (ATR) of non cooperative targets. Specifically the focus is on the ATR of ships in ISAR images. To fulfill this task a multifeature based technique is proposed which uses a number of features extracted from the ship radar image. Both cases of known/unknown target aspect angle and single/multiframe based processing technique are considered...
Bird strike hazards take place frequently in the world without prediction, destroying the expensive aircrafts, killing the pilots and the passengers, and bringing people disaster and sorrow. The conventional visual techniques donpsilat work at night or on the foggy and rainy days; even the weather radars couldnpsilat identify the birds accurately for its low resolution. In this paper, a novel method...
In this paper five parameters for classifier performance evaluation are introduced. They are the probabilities of correct classification, declaration, and false alarm along with the reliability and generalisation capability. The use of Receiver Operator Characteristic (ROC) curves is also considered. These parameters are not always accepted or acknowledged in literature, yielding ambiguous and non...
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