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2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)最新文献

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Data processing in frequency imaging of circular SAR 圆形SAR频率成像中的数据处理
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306178
Gao-gao Liu, Bin Wu, G. Qin, Jingjing Cai, Dan Bao
{"title":"Data processing in frequency imaging of circular SAR","authors":"Gao-gao Liu, Bin Wu, G. Qin, Jingjing Cai, Dan Bao","doi":"10.1109/APSAR.2015.7306178","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306178","url":null,"abstract":"This paper proposes an algorithm to process the data acquired of the targets underneath the circular center, which cannot be focused by frequency algorithms directly. Using the vector expression, the azimuth frequency modulation rate is partitioning into velocity and acceleration parts. After compensation of the acceleration parts, the circular path is corrected to a linear path and the frequency algorithms can be used to focus the data. The simulated results are covered to validate the effectiveness of the proposed algorithm.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"15 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":"127080833","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}
引用次数: 0
Target reconstruction based on scattering mechanisms 基于散射机制的目标重建
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306208
Yongchen Li, F. Xu
{"title":"Target reconstruction based on scattering mechanisms","authors":"Yongchen Li, F. Xu","doi":"10.1109/APSAR.2015.7306208","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306208","url":null,"abstract":"This paper presents a preliminary study on target reconstruction based on scattering mechanisms, where primitives geometries are used to decompose complex targets and each primitive scatterer is recognized by recognizing its scattering features.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"32 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":"129412231","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}
引用次数: 2
Adaptive reduced-rank beam-forming method using joint iterative optimization 联合迭代优化自适应降阶波束形成方法
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306258
He Shun, Yang Zhiwei, Liao Guisheng
{"title":"Adaptive reduced-rank beam-forming method using joint iterative optimization","authors":"He Shun, Yang Zhiwei, Liao Guisheng","doi":"10.1109/APSAR.2015.7306258","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306258","url":null,"abstract":"The proposed method realizes adaptive reduced-dimension processing based on joint optimization of both reduced-dimension matrix and beam-forming weight vector. Meanwhile, the spatial spectrum reconstruction technology is used to update the covariance matrix of array data online. The simulation results show that the proposed method is robust to the dimension of the reduced-dimension matrix and significantly improves the output SINR of adaptive beam-former under the condition of few samples.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"9 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":"126073497","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}
引用次数: 1
Ku-band ground-based SAR experiments for surface deformation monitoring 地表变形监测的ku波段地面SAR试验
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306288
Koo Voon Chet, Lim Chee Siong, W.H.H. Hsin, Lee Loong Wei, Cheaw Wen Guey, C. M. Yam, Lim Tien Sze, Chan Yee Kit
{"title":"Ku-band ground-based SAR experiments for surface deformation monitoring","authors":"Koo Voon Chet, Lim Chee Siong, W.H.H. Hsin, Lee Loong Wei, Cheaw Wen Guey, C. M. Yam, Lim Tien Sze, Chan Yee Kit","doi":"10.1109/APSAR.2015.7306288","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306288","url":null,"abstract":"Continuous monitoring of ground deformation on high-risk areas is of great importance for the study of landslide mechanisms as well as to serve as an early warning system before the triggers of hazardous events. A new ground-based synthetic aperture radar (GBSAR) has been developed and installed at selected landslide-prone areas in Malaysia. The proposed system operates at 17.2 GHz with high resolution change detection capability using interferometry technique. This paper presents the experimental results of the GBSAR in surface deformation monitoring.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"16 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":"114980106","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}
引用次数: 4
Fusion of RADARSAT-2 imagery with LANDSAT-8 multispectral data for improving land cover classification performance using SVM 基于支持向量机的RADARSAT-2影像与LANDSAT-8多光谱数据融合提高土地覆盖分类性能
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306273
Chanika Sukawattanavijit, Jie Chen
{"title":"Fusion of RADARSAT-2 imagery with LANDSAT-8 multispectral data for improving land cover classification performance using SVM","authors":"Chanika Sukawattanavijit, Jie Chen","doi":"10.1109/APSAR.2015.7306273","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306273","url":null,"abstract":"Study of the land cover classification using multi-source data are very important for eco-environment monitoring, land use planning and climatic change detection. In this study, the utility of multi-source RADARSAT-2 and LANDSAT-8 multi-spectral images for improving land cover classification performance using Support Vector Machine (SVM) classifier. HH polarized C band RADARSAT-2 images were fused with the three band (6, 5, and 4) LANDSAT-8 multispectral image for land cover classification. Wavelet-based fusion (WT) techniques are implemented in the data fusion process. The Radial Basic Function (RBF) kernel function were used for SVM classifier in order to classify land cover types in the study area. The results of the SVM classification were compared with those using standard method Maximum Likelihood (ML) classifier, and it demonstrates a higher accuracy. Finally, it was indicated by the study that the fusion of SAR and optical images can significantly improve the classification accuracy with respect to use single dataset, and the SVM classifier could clearly outperform the standard method the ML classifier.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"36 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":"130314514","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}
引用次数: 11
On compensation of Migration Through Resolution Cells in ISAR imaging ISAR成像中分辨率单元偏移补偿的研究
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306269
Changzheng Ma, B. Ng, Shun-sheng Zhang, T. Yeo, Zhoufeng Liu, Qiang Guo
{"title":"On compensation of Migration Through Resolution Cells in ISAR imaging","authors":"Changzheng Ma, B. Ng, Shun-sheng Zhang, T. Yeo, Zhoufeng Liu, Qiang Guo","doi":"10.1109/APSAR.2015.7306269","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306269","url":null,"abstract":"In Inverse Synthetic Aperture Radar (ISAR) imaging, with the increase of range and cross-range resolutions, scat-terers move through resolution (range and cross-range) cells even in short coherent processing interval. This limits the resolution obtained and degrades the image quality for the conventional Range-Doppler method. In this paper, the Migration Through Range Resolution Cell (MTRRC) is mitigated by forming the cross-range image for every frequency, while the Migration Through Cross-range Resolution Cell (MTCRC) is mitigated by using dechirp processing.","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":"130805032","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}
引用次数: 1
Persistent scatterer InSAR for monitoring active volcanoes: Measuring deformation at Merapi using ALOS PALSAR data 持续散射InSAR监测活火山:使用ALOS PALSAR数据测量默拉皮火山变形
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306338
K. Chua, Qing Wan, Soo Chin Liew, J. Thouret
{"title":"Persistent scatterer InSAR for monitoring active volcanoes: Measuring deformation at Merapi using ALOS PALSAR data","authors":"K. Chua, Qing Wan, Soo Chin Liew, J. Thouret","doi":"10.1109/APSAR.2015.7306338","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306338","url":null,"abstract":"We applied Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) onto the Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR) dataset from December 2006 to February 2011 to monitor the inter-eruption (2006 and 2010) period and the post 2010 eruption of Mount Merapi. L-band is chosen for the long wavelength to improve coherence in vegetated region. We observe periodic uplift and subsidence of less than 0.4 mm/day for the non-eruption period, and a large uplift of 1.8 mm/day immediately before the eruption. ALOS PALSAR is limited by the 46 days repeat pass, but newer L-band satellites will have the potential to monitor active volcanoes such as Merapi.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"32 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":"130555596","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}
引用次数: 1
Sidelobe suppression algorithm for SAR imaging based on iterative adaptive approach 基于迭代自适应的SAR成像旁瓣抑制算法
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306244
Jiakun Wang, Pengbo Wang
{"title":"Sidelobe suppression algorithm for SAR imaging based on iterative adaptive approach","authors":"Jiakun Wang, Pengbo Wang","doi":"10.1109/APSAR.2015.7306244","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306244","url":null,"abstract":"Of the presented SAR imaging approaches, the range Doppler algorithm (RDA), the chirp scaling algorithm (CSA), the wavenumber domain algorithm (ω kA), and their variations can build an intensity image from the SAR echo, although these algorithms based on matched filter suffer high sidelobe level and low quality of imaging result. Recently the iterative adaptive approach (IAA) algorithm has been investigated for high-resolution spectral estimation with low sidelobe levels. Regrettably, because it's a post-processing technique, those weak targets which have been submerged cannot be recovered. We propose a SAR imaging algorithm based on IAA algorithm to solve this problem.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"43 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":"132997604","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}
引用次数: 3
TerraSAR-X/PAZ constellation: CONOPS, highlights and access solution TerraSAR-X/PAZ星座:CONOPS，亮点和接入解决方案
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306183
S. Suri, L. Peterson, A. Kaptein, F. Cerezo, Victoriano Moreno, M. A. Garcia Primo
{"title":"TerraSAR-X/PAZ constellation: CONOPS, highlights and access solution","authors":"S. Suri, L. Peterson, A. Kaptein, F. Cerezo, Victoriano Moreno, M. A. Garcia Primo","doi":"10.1109/APSAR.2015.7306183","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306183","url":null,"abstract":"TerraSAR-X radar technology is credited to be the most accurate radar sensor being utilized for innovative applications [1][2]. Extending this success, this paper presents a soon to be launched constellation of TerraSAR-X like X band SAR sensors. The injection of the PAZ satellite (owned and operated by Hisdesat S.A. of Spain) in Q4 2015 into the TerraSAR-X and TanDEM-X orbit will bring a unique radar constellation to the market. The benefits of this planned constellation mission shall be enormous leading to as short as possible revisit times with a promise of excellent quality and reliability. The constellation shall offer products ranging from very high resolution data for IMINT community to large wide swath scans for maritime services industry. On-top of the traditional constellation benefits, this program also demonstrates a novel approach to coordinate international space missions for all stakeholder benefits. In this paper we intend to present the following aspects of the constellation: Constellation Concept of Operations (CONOPS); Capability of the 25cm Staring SpotLight Mode in Comparison to traditional 1m radar imagery; The Unique Airbus DS access solution to access the constellation.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"29 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":"133088363","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}
引用次数: 2
An improvement of multiple-component scattering model with rotated covariance matrix for polarimetric SAR decomposition 基于旋转协方差矩阵的极化SAR多分量散射模型改进
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2015-10-29 DOI: 10.1109/APSAR.2015.7306256
Lamei Zhang, Xiao Wang, W. Moon
{"title":"An improvement of multiple-component scattering model with rotated covariance matrix for polarimetric SAR decomposition","authors":"Lamei Zhang, Xiao Wang, W. Moon","doi":"10.1109/APSAR.2015.7306256","DOIUrl":"https://doi.org/10.1109/APSAR.2015.7306256","url":null,"abstract":"It has been validated that the cross-polarized scattering (HV) is caused not only by vegetation but also by rotated dihedrals, then the orientation angle of the rotated dihedrals can be obtained by minimizing the cross-polarized scattering component of covariance matrix. Therefore, this paper presents an improvement of multiple-component scattering model of rotated covariance matrix for Polarimetric SAR decomposition in order to detect the rotated buildings. Based on this model, the oriented buildings can be distinguished from the volume scattering mechanism of forest. Comparisons of the multiple-component decompositions with and without rotation of the covariance matrix are conducted using ESAR L-band Polarimetric SAR data of the Oberpfaffenhofen Test Site Area. Experimental results indicate that the improved decomposition model by implementing a rotation of the covariance matrix can recognize the oriented buildings from volume scattering and achieve a better decomposition result and further more accurate interpretation.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"3 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":"134072228","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}
引用次数: 1
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