Downward looking ground penetrating radar (GPR) has been considered a viable technology for landmine detection. For such a GPR with the antennas positioned very close to the ground surface, the reflections from the gr...
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Global Positioning System (GPS) has found wide application in many areas. However, due to the low power of the received signal, GPS is susceptible to a variety of interferences and multipath. In this paper, a two stag...
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In this paper, a new preprocessing approach is proposed for SAR ATR. The effect of DC (Direct Current) bias among images on the ATR performance is studied and a new preprocessing method is proposed. The alignment, amp...
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In this paper, a new technique for Synthetic Aperture Radar (SAR) automatic target recognition (ATR) is developed, which is builded upon Two-Dimensional Principle Component Analysis (2DPCA). First, 2DPCA is applied to...
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The effect of PC (Principal Component) number upon SAR ATR (Synthetic Aperture Radar Automatic Target Recognition) performance based on PCA (Principal Component Analysis) is analyzed. First, PCA features are extracted...
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In Global positioning system (GPS), adaptive beamforming is an effective method for enhancing the desired signal and suppressing interferences simultaneously. The direction-of-arrival (DOA) of the desired signal, howe...
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image fusion techniques can be used to enhance the resolution of multispectral image, which is helpful for categorizing and recognizing and other decision making process. In this paper, a new image fusion algorithm ba...
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In this paper, a new morphological image-cleaning algorithm that preserves thin features while removing speckle noise is presented and *** this new algorithm, the multi-scale top-hat transformation and bottom-hat tran...
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In this paper, a new morphological image-cleaning algorithm that preserves thin features while removing speckle noise is presented and *** this new algorithm, the multi-scale top-hat transformation and bottom-hat transformation are added into the conventional multi-scale morphological opening and closing *** differs from previous morphological filters in which it uses residual images to extract and smooth the *** coefficients of the multi-scale top-hat transformation and bottom-hat transformation are optimized by adaptive weighted *** paper also shows that the new filtering algorithm preserves thin features significantly and reduces the speckle index *** performance of the new filtering algorithm is superior to that of the conventional filtering methods.
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