Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306292
T. Fujimura, Norihiro Imai, Yoshimasa Seino, T. Kimura, M. Murata, Tomoko Ishii
The new small airborne SAR for disaster monitoring was developed based on the technology of Pi-SAR2 of NICT. The summary of its development was reported in IGARSS 2013 and 2014 [1][2] and will be reported in IGARSS 2015 [3]. This paper reports the evaluation of its disaster monitoring capability using the change detection by the simple amplitude difference method.
{"title":"Prospect of disaster monitoring with the new small airborne SAR","authors":"T. Fujimura, Norihiro Imai, Yoshimasa Seino, T. Kimura, M. Murata, Tomoko Ishii","doi":"10.1109/APSAR.2015.7306292","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306292","url":null,"abstract":"The new small airborne SAR for disaster monitoring was developed based on the technology of Pi-SAR2 of NICT. The summary of its development was reported in IGARSS 2013 and 2014 [1][2] and will be reported in IGARSS 2015 [3]. This paper reports the evaluation of its disaster monitoring capability using the change detection by the simple amplitude difference method.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126479805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306186
D. Calabrese, Vanessa Mastroddi, S. Federici, S. Serva
The Discrete Stepped Strip (DI2S) technique introduces an innovative method to use a SAR in time sharing improving the system capability and flexibility. In this paper, the approach used by DI2S Multi-Swath technique will be described highlighting the main advantages in terms of performance and application.
{"title":"Discrete Stepped Strip (DI2S) for multi-swath acquisitions","authors":"D. Calabrese, Vanessa Mastroddi, S. Federici, S. Serva","doi":"10.1109/APSAR.2015.7306186","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306186","url":null,"abstract":"The Discrete Stepped Strip (DI2S) technique introduces an innovative method to use a SAR in time sharing improving the system capability and flexibility. In this paper, the approach used by DI2S Multi-Swath technique will be described highlighting the main advantages in terms of performance and application.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"370 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131708065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306252
Yueting Zhang, Fangfang Li, Xiaolan Qiu, C. Ding
The Multi-Bounce (MB) scattering characteristics in SAR image of tanks with floating top give valuable information about the reserve of the tank. In this work, in order to analyze the characteristics of the MB scattering for objects with cavity shape, an approach to simulate by using Shooting and Bouncing Rays (SBR) technique is presented. The MB scattering mechanism is calculated by using ray perspective, and the approximate focus positions of the MB rays are approximately deduced according to imaging formation progress. By using this method, the simulated SAR image is obtained by avoiding the calculation of the 2-D scattered field. The characteristics of the simulated results show agreement with the Terra-SAR data of the tanks with floating top.
{"title":"An approach for simulating SAR images of tanks by using shooting and bouncing rays","authors":"Yueting Zhang, Fangfang Li, Xiaolan Qiu, C. Ding","doi":"10.1109/APSAR.2015.7306252","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306252","url":null,"abstract":"The Multi-Bounce (MB) scattering characteristics in SAR image of tanks with floating top give valuable information about the reserve of the tank. In this work, in order to analyze the characteristics of the MB scattering for objects with cavity shape, an approach to simulate by using Shooting and Bouncing Rays (SBR) technique is presented. The MB scattering mechanism is calculated by using ray perspective, and the approximate focus positions of the MB rays are approximately deduced according to imaging formation progress. By using this method, the simulated SAR image is obtained by avoiding the calculation of the 2-D scattered field. The characteristics of the simulated results show agreement with the Terra-SAR data of the tanks with floating top.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306199
Yuanyuan Huai, Yi Liang, M. Xing, Xiaorui Ma
For high squint SAR small-aperture data imaging, the conventional Omega-K algorithm will confront two main problems. First, since the data support region (DSR) in the two-dimension (2-D) wavenumber domain is skew, the conventional algorithm cannot exploit the DSR efficiently enough and degrades the resolution when choosing the square region to process. Second, the small-aperture data can only offer short DSR of the azimuth position. When imaging in the azimuth distance domain, the images will result in serious blurring in azimuth direction unless padding large number of zeroes. Correspondingly, to solve such problems, the modified Omega-K algorithm contains mainly two parts, the “No-Squint” Processing, which corrects the skew DSR to maximize the selection area; And the Small-aperture data imaging processing, which enable the azimuth focus in wavenumber domain, eliminating the azimuth blurring. Experiments show the validity and effectiveness of the proposed algorithm.
{"title":"Small-aperture imaging for high squint SAR based on modified Omega-K algorithm","authors":"Yuanyuan Huai, Yi Liang, M. Xing, Xiaorui Ma","doi":"10.1109/APSAR.2015.7306199","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306199","url":null,"abstract":"For high squint SAR small-aperture data imaging, the conventional Omega-K algorithm will confront two main problems. First, since the data support region (DSR) in the two-dimension (2-D) wavenumber domain is skew, the conventional algorithm cannot exploit the DSR efficiently enough and degrades the resolution when choosing the square region to process. Second, the small-aperture data can only offer short DSR of the azimuth position. When imaging in the azimuth distance domain, the images will result in serious blurring in azimuth direction unless padding large number of zeroes. Correspondingly, to solve such problems, the modified Omega-K algorithm contains mainly two parts, the “No-Squint” Processing, which corrects the skew DSR to maximize the selection area; And the Small-aperture data imaging processing, which enable the azimuth focus in wavenumber domain, eliminating the azimuth blurring. Experiments show the validity and effectiveness of the proposed algorithm.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132012639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306247
Di Wu, Daiyin Zhu, X. Mao, Yong Li, M. Shen
An efficient approach to achieve ground moving target indication (GMTI) for synthetic aperture radar (SAR) is to use the Monopulse-SAR system. This paper examines the statistics of complex monopulse ratio (CMR) for SAR/GMTI model when complex Gaussian clutter-plus-noise is considered. The two dimensional probability density function (pdf) of CMR is analyzed in detail. An automatic constant false-alarm rate (CFAR) detector with the probability of false alarm given in a closed-form for moving targets is provided and extended to a multi-CMRD form to further improve the final detection performance. Experimental results are presented to examine the detection performance and validate the theoretical analysis.
{"title":"CFAR detection of moving target for Monopulse-SAR based on statistical analysis of complex monopulse ratio","authors":"Di Wu, Daiyin Zhu, X. Mao, Yong Li, M. Shen","doi":"10.1109/APSAR.2015.7306247","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306247","url":null,"abstract":"An efficient approach to achieve ground moving target indication (GMTI) for synthetic aperture radar (SAR) is to use the Monopulse-SAR system. This paper examines the statistics of complex monopulse ratio (CMR) for SAR/GMTI model when complex Gaussian clutter-plus-noise is considered. The two dimensional probability density function (pdf) of CMR is analyzed in detail. An automatic constant false-alarm rate (CFAR) detector with the probability of false alarm given in a closed-form for moving targets is provided and extended to a multi-CMRD form to further improve the final detection performance. Experimental results are presented to examine the detection performance and validate the theoretical analysis.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133500629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306274
Jose Naranjo Torres, J. Gambini, A. Frery
This paper presents a new method to measure the separability between two different regions in SAR imagery, using the geodesic distance and the GI0 distribution. The method can be used in SAR image segmentation, among other applications. It is well known that the GI0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter and the texture parameter. A formula for the geodesic distance is computed in terms of the texture parameter, which is estimated using Maximum Likelihood. The geodesic distance equation is solved using numerical integration. The new algorithm has been applied to synthetic and real data with promising results.
{"title":"Region discrimination in SAR imagery using the geodesic distance between GI0 distributions","authors":"Jose Naranjo Torres, J. Gambini, A. Frery","doi":"10.1109/APSAR.2015.7306274","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306274","url":null,"abstract":"This paper presents a new method to measure the separability between two different regions in SAR imagery, using the geodesic distance and the GI0 distribution. The method can be used in SAR image segmentation, among other applications. It is well known that the GI0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter and the texture parameter. A formula for the geodesic distance is computed in terms of the texture parameter, which is estimated using Maximum Likelihood. The geodesic distance equation is solved using numerical integration. The new algorithm has been applied to synthetic and real data with promising results.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper talks about an innovative method for constructing SAR image from raw data when range migration phenomenon is obvious. Here, SAR raw data works as input. A set of range migration curves (RMC) will be extracted from its range compression result. After that, parameters gained from curve fitting provide physical location and normalized backscattering coefficient of targets, and thus a SAR image is constructed. In this algorithm, Random Sample Consensus (RANSAC) offers idea about pixels classification of different point targets. Moreover, the least-squares distance gives measure to classify pixels belonging to different point targets. It is shown that range migration curve can be regarded as a parabola when estimating the parameters by curve fitting. These estimated parameters construct SAR image well when the conventional SAR image formation algorithm fails in obtaining a good one. In this paper, experimental results are conducted to illustrate the superiority of the algorithm.
{"title":"A SAR imaging technique for the target of complex azimuth envelope based on information extraction","authors":"Hui Sheng, Bingqi Zhu, Yesheng Gao, Kaizhi Wang, Xingzhao Liu, Yiran Jin","doi":"10.1109/APSAR.2015.7306321","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306321","url":null,"abstract":"This paper talks about an innovative method for constructing SAR image from raw data when range migration phenomenon is obvious. Here, SAR raw data works as input. A set of range migration curves (RMC) will be extracted from its range compression result. After that, parameters gained from curve fitting provide physical location and normalized backscattering coefficient of targets, and thus a SAR image is constructed. In this algorithm, Random Sample Consensus (RANSAC) offers idea about pixels classification of different point targets. Moreover, the least-squares distance gives measure to classify pixels belonging to different point targets. It is shown that range migration curve can be regarded as a parabola when estimating the parameters by curve fitting. These estimated parameters construct SAR image well when the conventional SAR image formation algorithm fails in obtaining a good one. In this paper, experimental results are conducted to illustrate the superiority of the algorithm.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121829124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306214
Motoyuki Sato, Kazunori Takahashi, Y. Iitsuka, C. Koyama
We report our recent development in near rage radar systems and their applications to Non Destructive Inspection (NDI) for wooden buildings. We developed a radar system having 32 linearly aligned antenna elements operating at 10-20GHz. This system can acquire quite dense data on a wall. Then we discuss the possibility of 2-dimentional array system, based on the idea of sparse array. We demonstrated that the 8-ch array radar system can visualize the 3-dimentional structure without movement for radar scanning. Then we demonstrate that polarimetric information can image very small structure of buildings, which is under the limitation of radar resolution.
{"title":"Near range polarimetric SAR for non-destructive inspection of wooden buildings","authors":"Motoyuki Sato, Kazunori Takahashi, Y. Iitsuka, C. Koyama","doi":"10.1109/APSAR.2015.7306214","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306214","url":null,"abstract":"We report our recent development in near rage radar systems and their applications to Non Destructive Inspection (NDI) for wooden buildings. We developed a radar system having 32 linearly aligned antenna elements operating at 10-20GHz. This system can acquire quite dense data on a wall. Then we discuss the possibility of 2-dimentional array system, based on the idea of sparse array. We demonstrated that the 8-ch array radar system can visualize the 3-dimentional structure without movement for radar scanning. Then we demonstrate that polarimetric information can image very small structure of buildings, which is under the limitation of radar resolution.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130714567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306206
B. Shi, S. Leong, Alda Mulya, B. Luo, Wenjiang Wang
A phase-locked loop (PLL) array has been developed to perform electronic beam steering at W-band (76-77 GHz) for radar applications. It uses external current injection into the outputs of the charge pump (CP) in the frequency synthesizers to adjust the phase of the voltage control oscillators (VCO) in the PLL array. The measurement array radiation pattern is presented.
{"title":"Electronic beam steering using PLL array for radar applications in W-band","authors":"B. Shi, S. Leong, Alda Mulya, B. Luo, Wenjiang Wang","doi":"10.1109/APSAR.2015.7306206","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306206","url":null,"abstract":"A phase-locked loop (PLL) array has been developed to perform electronic beam steering at W-band (76-77 GHz) for radar applications. It uses external current injection into the outputs of the charge pump (CP) in the frequency synthesizers to adjust the phase of the voltage control oscillators (VCO) in the PLL array. The measurement array radiation pattern is presented.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114247522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-29DOI: 10.1109/APSAR.2015.7306333
S. R. S. Hashemi, S. Bayat, M. Nayebi
In this paper a novel algorithm for detection, parameter estimation, and image formation of a moving target in ground-based circular strip-map synthetic aperture radar (GBCSAR) is proposed. Because multiple similar scans of the scene with short revisit time are possible, moving target detection is performed by clutter cancellation. Despite of the frequency-domain or multi-antenna clutter cancellation methods, this system has the capability of removing the clutter completely regardless of the target speed or the signal to clutter ratio (SCR). Estimation of target parameters and range-cell migration correction (RCMC) is based on comparing two consecutive target images. Finally the azimuth compression of the target image is performed using an autofocus algorithm.
{"title":"Ground-based moving target imaging in a circular strip-map synthetic aperture radar","authors":"S. R. S. Hashemi, S. Bayat, M. Nayebi","doi":"10.1109/APSAR.2015.7306333","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306333","url":null,"abstract":"In this paper a novel algorithm for detection, parameter estimation, and image formation of a moving target in ground-based circular strip-map synthetic aperture radar (GBCSAR) is proposed. Because multiple similar scans of the scene with short revisit time are possible, moving target detection is performed by clutter cancellation. Despite of the frequency-domain or multi-antenna clutter cancellation methods, this system has the capability of removing the clutter completely regardless of the target speed or the signal to clutter ratio (SCR). Estimation of target parameters and range-cell migration correction (RCMC) is based on comparing two consecutive target images. Finally the azimuth compression of the target image is performed using an autofocus algorithm.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125933590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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