Estimation error of coherent parameter will decrease the coherent performance of distributed coherent aperture radar (DCAR). The evaluation of coherent performance in realtime will determine the subsequent work mode ...
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ISBN:
(纸本)9781849199940
Estimation error of coherent parameter will decrease the coherent performance of distributed coherent aperture radar (DCAR). The evaluation of coherent performance in realtime will determine the subsequent work mode of the DCAR. Therefore, a real-time monitoring method of coherent performance should be researched to establish a closed-loop workflow system. In this paper, an estimation method of coherent efficiency of DCAR based on cross correlation is proposed. Firstly, the transmitting coherent efficiency and the receiving coherent efficiency are defined via the cross correlation, which are the composition of full coherent efficiency. In the following, the received echo is modified by unit radar according to coherent parameters, and then the coherent performance is estimated by cross correlating the transmit signal and the modified echo signal. In the end, the simulation is carried out and verifies the effectiveness of the proposed method.
A technique is presented for estimating the primary measurements of forward scatter radar with a planar array. The space-timeprocessing based on three-dimensional discrete Fourier transform is employed and the comput...
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ISBN:
(纸本)9781785610387
A technique is presented for estimating the primary measurements of forward scatter radar with a planar array. The space-timeprocessing based on three-dimensional discrete Fourier transform is employed and the computation is reduced without loss of accuracy. By analyzing the Cramer-Rao lower bound, the performance of the given approach is shown. Meanwhile, the effect of the target's complex scatter coefficient to the Doppler measurement is noticed. Numerical simulation presents an estimation of primary measurements with good accuracy.
SyntheticAperture Radar (SAR) has the ability to work inevery hour, under all weather conditions. The multichannel SAR well solved the dilemma between the swathcoverage and the azimuth resolution. However in reality, ...
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ISBN:
(纸本)9781785610387
SyntheticAperture Radar (SAR) has the ability to work inevery hour, under all weather conditions. The multichannel SAR well solved the dilemma between the swathcoverage and the azimuth resolution. However in reality, the phase equalization of each sub-channel is influencedby many unideal factors, which can degrade the imagequality. In this paper, firstly the main factors are summarized and their effects are calculated. Then the interferometric phasemethod is introduced to compensate the phase error. Finally we applied the following methods of error estimation and compensation in the channel uncertainty simulation and get a good imagining result.
Fast Fourier Transform (FFT) is an important technology in real-time signal processing system, which means the efficiency of FFT algorithm mapping to hardware system has very important significance. At first, we aim a...
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ISBN:
(纸本)9781849199940
Fast Fourier Transform (FFT) is an important technology in real-time signal processing system, which means the efficiency of FFT algorithm mapping to hardware system has very important significance. At first, we aim at the FFT execution process on processor. And then analyze the memory access process based on cache mechanism, and get that the cache hit directly affects FFT execution time. Hence, an efficient mapping method is come up with, which splits long FFT into multiple segments to make sure every segment is shorter than the cache capacity. Accordingly, the cache hit rate will be improved, correspondingly, the execution efficiency will be better finally. In the end, the new method is experimented on the A DI's TS201 digital s ignal proces s or, and the res u lt s hows that the execution time of FFT is improved greatly.
Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic SAR systems using GNSS satellites as illu - minates attract intensive attentions in the ...
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ISBN:
(纸本)9781849199940
Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic SAR systems using GNSS satellites as illu - minates attract intensive attentions in the research field of SAR. Due to the abundant frequency resources of GNSS systems, high resolution synthetic technology in range dimension is of great significance to make full use all of these resources. This paper presents a high resolution synthetic technology in range dimension, which can be used to process general signals obtained by radar systems. In this paper, GNSS signal is considered particularly and that method is modified to deal with GNSS signals. Then an experiment is carried out by Beidou-2 satellites system. The experiment result shows that this method is quite useful to Beidou-2 direct signals and the feasibility and effectiveness of this algorithm is verified.
Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic/multistatic SAR systems with the ability to obtain information from multiple directions ...
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ISBN:
(纸本)9781849199940
Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic/multistatic SAR systems with the ability to obtain information from multiple directions attract intensive attentions in the research field of SAR. Considering that the images registration method is the fundamental of making full use of multi-angle information, this paper propose a novel PS points' association method based on sliding-type scattering centers for bistatic/multistatic SAR images in order to realize the images registration. This method has solved the problem that traditional images registration method by PS points only can be used with single angle observation and is of great significance for multi-angle information fusion and multi-baseline interferometric by bistatic/multistatic SAR systems.
The fast and steady feature extraction and key point matching are key factors to SAR (synthetic aperture radar) image automatic registration algorithm. The real-timeprocessing of the algorithm in SAR is one of the ch...
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ISBN:
(纸本)9781849199940
The fast and steady feature extraction and key point matching are key factors to SAR (synthetic aperture radar) image automatic registration algorithm. The real-timeprocessing of the algorithm in SAR is one of the challenges that need to be solved urgently. This paper aims at improving the efficiency of the description of key point in SIFT algorithm. We implemented the rapid calculation of the feature extraction section in SIFT (scale invariant feature transform) based on embedded NVIDIA GPU-Tegra K1 by fully taking the advantages of multi-cores of GPU in parallel computing, floating point calculation, memory management, etc. And the speed ratio of the accelerated calculation of the SIFT feature reaches 5.5.
Geosynchronous SAR (GEO SAR) is susceptible to ionosphere due to the ultra-long integration time and ultrawide coverage, resulting in image defocusing and image drift. This paper demonstrates a validation experiment o...
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ISBN:
(纸本)9781849199940
Geosynchronous SAR (GEO SAR) is susceptible to ionosphere due to the ultra-long integration time and ultrawide coverage, resulting in image defocusing and image drift. This paper demonstrates a validation experiment of analysing ionospheric impacts on GEO SAR focusing. The validation experiment consists of data acquisition of the global navigation satellites system (GNSS) satellites signals (including GPS and Beidou IGSO satellites), equivalent pre-processing, GEO SAR signal modelling, image focusing and evaluating. The recorded data are equivalently transformed into the space and time frame of GEO SAR. Then the phase errors induced by ionosphere in GEO SAR can be generated from the equivalently preprocessed data and then incorporated into the GEO SAR signals. The following image focusing and the impacts analysis are accomplished. In cases of the current GEO SAR system configuration, the existence of ionosphere will induce image drifts but can be corrected through image registration techniques. In other aspects, the image can be well focused in range direction. But for the azimuthal focusing, the second and higher derivatives of TEC will result in defocusing and the thresholds of wellfocusing are dependent on the specific GEO SAR system configuration.
In order to classify the remote sensing land-use objects efficiently with the very high resolution (VHR) remote sensing images, this letter proposes a remote sensing object classification method based on bag of visual...
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ISBN:
(纸本)9781849199940
In order to classify the remote sensing land-use objects efficiently with the very high resolution (VHR) remote sensing images, this letter proposes a remote sensing object classification method based on bag of visual words (BOV) model. This method combines the scale invariant feature transform (SIFT) feature and the texture feature as remote sensing words. Then, the remote sensing words are used for generating word frequency histograms. The histogram is the bridge of the remote sensing words and the classifier. At last, in the classifier design section, the histogram intersection kernel (HIK) is adopted in the SVM. We use the proposed classification method to classify the UC Merced dataset and self-made dataset. Experimental results show that the proposed remote sensing object classification method yields better classification than the existing methods in terms of the classification accuracy.
This paper presents an original urban detection on remote sensing images, which is based on efficient textural features extracted from contourlet transform domain. Since cities and towns are consisted of various objec...
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ISBN:
(纸本)9781849199940
This paper presents an original urban detection on remote sensing images, which is based on efficient textural features extracted from contourlet transform domain. Since cities and towns are consisted of various objects, which have great differences in scale, directivity and texture characteristics, it is adaptive for contourlet transform to detecting urbans result from its discrete-domain multi-resolution and multi-direction expansion using nonseparable filter banks. Therefore, construction of contourlet coefficients can capture the intrinsic geometrical structure that is the key in visual information. On the other hand, we employ robust texture features in contourlet domain for recognizing urban regions from other land type by LS-SVM classifier. The performance of the proposed approach was validated by experiments carried on a data set of large images consisting of heavily negative samples.
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