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2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)最新文献

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Three-way inter-satellite radiometric calibration between GMI, TMI and WindSat GMI、TMI和WindSat之间的卫星间辐射校正
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729525
Ruiyao Chen, H. Ebrahimi, W. Jones
{"title":"Three-way inter-satellite radiometric calibration between GMI, TMI and WindSat","authors":"Ruiyao Chen, H. Ebrahimi, W. Jones","doi":"10.1109/IGARSS.2016.7729525","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729525","url":null,"abstract":"Satellite precipitation measurements began a new era with the commissioning of the new Global Precipitation Measurements Microwave Imager (GMI) in March 2014. For the previous 17 years, the Tropical Rainfall Measurements Mission (TRMM) Microwave Imager (TMI), operating in a non-sun-synchronous orbit, served as the radiometric transfer standard for the constellation radiometers. Previously, the Central Florida Remote Sensing Lab has conducted independent inter-comparisons over oceans between TRMM Microwave Imager (TMI) and the Naval Research Lab's WindSat polarimetric radiometer, and found that the radiometric calibration of TMI relative to WindSat exhibited exceptional long-term radiometric stability over > 5 years. This paper presents results of the three-way inter-calibration of GMI, TMI and WindSat brightness temperatures during the GPM/TRMM/WindSat overlap period March 2014 - March 2015.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115260612","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: 6
SAR tomography of natural environments: Signal processing, applications, and future challenges 自然环境的SAR断层扫描:信号处理、应用和未来挑战
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7728991
S. Tebaldini, F. Rocca, A. Reigber, L. Ferro-Famil
{"title":"SAR tomography of natural environments: Signal processing, applications, and future challenges","authors":"S. Tebaldini, F. Rocca, A. Reigber, L. Ferro-Famil","doi":"10.1109/IGARSS.2016.7728991","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7728991","url":null,"abstract":"Synthetic Aperture Radar (SAR) Tomography (TomoSAR) provides access to the three-dimensional (3D) structure of illuminated media by jointly focusing multiple SAR acquisitions. TomoSAR imaging can be understood in simple terms by considering that multiple SAR flight lines, or orbits, allow forming a bi-dimensional synthetic aperture, resulting in the possibility to resolve the targets not only in the range-azimuth plane, but also in elevation. This simple principle brings along unprecedented possibilities, providing a way to investigate the illuminated media based on a direct observation of their vertical structure. The aim of this paper is to provide the readers with a brief tutorial on the use of TomoSAR imaging in the remote sensing of distributed media, by presenting basic imaging principles, applications, signal processing methods, and identifying challenges for future tomographic SAR systems.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055874","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: 7
Semantic location-based services 语义位置服务
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729934
Liangcun Jiang, P. Yue, Xia Guo
{"title":"Semantic location-based services","authors":"Liangcun Jiang, P. Yue, Xia Guo","doi":"10.1109/IGARSS.2016.7729934","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729934","url":null,"abstract":"Semantic location-based services (LBS) aims to provide intelligent LBS that can find and integrate various information to better meet user requirements in location-aware context. This paper argues that traditional approaches for semantic GIServices in the Cyberinfrastructure context could be extended into the LBS. After highlighting the distinguished features of semantic LBS, i.e. context semantics and location semantics, it suggests a common semantic framework that can accommodate semantics in both LBS and GIServices. A semantic-aware LBS architecture is proposed, which supports the context-aware discovery, access, composition, and use of Web information. A case study illustrates the applicability of the approach.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"596 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116071646","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
An improved method of compensating the mutual coupling effect for aperture synthesis radiometers 孔径合成辐射计相互耦合补偿的改进方法
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729102
Hailiang Lu, Qingxia Li, Wenchao Zheng, Yan Li, Qianqian Zhang, Yanhua Li, Yue Yuan
{"title":"An improved method of compensating the mutual coupling effect for aperture synthesis radiometers","authors":"Hailiang Lu, Qingxia Li, Wenchao Zheng, Yan Li, Qianqian Zhang, Yanhua Li, Yue Yuan","doi":"10.1109/IGARSS.2016.7729102","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729102","url":null,"abstract":"In aperture synthesis radiometers (ASRs), the mutual coupling effect between antennas is a key problem, which degrades the performance of ASRs and should be compensated. In this paper, an improved compensation method is proposed for ASRs, which is based on the receiving mutual impedance. The proposed method is verified by a one-dimension 5-channel L-band ASR. The experimental results show that the proposed method is superior over the existing method based on the transmitting mutual impedance, and is more appropriate to compensate the mutual coupling effect for ASRs.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"736 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116079681","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
An interpretation of underwater LiDAR waveforms based on a modified Weibull probability distribution function 基于修正威布尔概率分布函数的水下激光雷达波形解释
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729978
Martin A. Montes, A. Vuorenkoski, F. Dalgleish
{"title":"An interpretation of underwater LiDAR waveforms based on a modified Weibull probability distribution function","authors":"Martin A. Montes, A. Vuorenkoski, F. Dalgleish","doi":"10.1109/IGARSS.2016.7729978","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729978","url":null,"abstract":"One important research topic in marine optics and active remote sensing is the study of spatial distribution of inherent optical properties (IOPs) in 3-D and at very small scales (i.e., ten to hundredth of mm). The understanding of micro-patchiness has many useful implications in ecology [1], ocean color inversion based on satellite and airborne platforms [2], and improvement of underwater image processing [3]. Here a Fine Structure Underwater Imaging LiDAR (LIght Detection and Range) system (FSUIL) [4] was evaluated for investigating spatial and temporal heterogeneity of water optical components. Each impulse function measured by FSUIL is influenced by the source-detector configuration and by the signal attenuation due to changes on inherent optical properties (IOPs). Thus, for a fixed LiDAR system geometry and a complete characterization of the PMT response, IOPs may be retrieved from FSUIL waveforms. For this task, each raw waveform was simulated based on four shape parameters (i.e., slope, scale, amplitude, and noise baseline, hereafter P1, P2, P3 and P4, respectively) derived from a modified Weibull probability distribution function (MW). Unlike other empirical models, MW estimates may be influenced by multiple scattering and symmetry of main backscattering peak. By assuming a constant LiDAR system configuration, it is expected that P1 increases (i.e., more symmetrical or less skewed Gaussian shape) as multiple scattering is added to the total signal arriving to the detector. The parameter P2 is linked to the width of the Gaussian function and is expected to increase as P2 increases. The parameter P3 relates to the kurtosis of the probability distribution function and is expected to mainly vary with the contribution of retro-reflected and forward-reflected photons after the first and second collision, respectively. A final parameter extracted from MW simulations is P4, a variable associated to the signal `offset'.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116569117","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
TDR measurements to discriminate possible magnetic properties of materials: preliminary considerations 鉴别材料可能的磁性的TDR测量:初步考虑
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730724
R. Persico, M. Pieraccini
{"title":"TDR measurements to discriminate possible magnetic properties of materials: preliminary considerations","authors":"R. Persico, M. Pieraccini","doi":"10.1109/IGARSS.2016.7730724","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730724","url":null,"abstract":"The problem of the measure of both the dielectric permittivity and the magnetic permeability of a material is dealt with making use of a TDR probe. Simulation results are shown making use of a transmission line model in frequency domain.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"32 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116582466","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
Research on the application of ground-based optical image for slope rapid monitoring 地基光学图像在边坡快速监测中的应用研究
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730599
Zhi Wang, Zhichao Chen, Yan Zhang, Huan Yang, Jianmin Kang, Yaxin Sun, M. Wang, Nian Li
{"title":"Research on the application of ground-based optical image for slope rapid monitoring","authors":"Zhi Wang, Zhichao Chen, Yan Zhang, Huan Yang, Jianmin Kang, Yaxin Sun, M. Wang, Nian Li","doi":"10.1109/IGARSS.2016.7730599","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730599","url":null,"abstract":"This paper proposes a method for rapid and continuous monitoring of slope deformation by using terrestrial optical photogrammetry. This slope monitoring method is non-contact and has a high speed to calculate the position and displacement of slope points, which can be applied to the continuous observation and disaster warning of the problem area of the slope. The theory of this method is to obtain the sequence image of the slope through the ground observation platform, and then use the SURF algorithm to generate the 2D displacement field in image plane, and finally orthorectify by using the DTM to calculate the displacement of the slope points. When the displacement of slope point exceeds the threshold, it can be considered that the corresponding position may be unstable and will occur slope sliding.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"65 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122318515","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
Ground validation and uncertainty esitmation of VIIRS land surface temperature product VIIRS地表温度产品的地面验证与不确定度估算
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730806
Yuling Liu, Yunyue Yu, YU Peng, Heshun Wang
{"title":"Ground validation and uncertainty esitmation of VIIRS land surface temperature product","authors":"Yuling Liu, Yunyue Yu, YU Peng, Heshun Wang","doi":"10.1109/IGARSS.2016.7730806","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730806","url":null,"abstract":"This study compares VIIRS LST with ground in-situ observations from Baseline Surface Radiation Network (BSRN) and Global Monitoring Division (GMD) baseline observatories. The validation results present a close agreement between satellite estimation and ground observations with the accuracy about -0.4 K and -0.7 K, precision of 2.1 and 1.8 over BSRN CAB site and GOB site, respectively. A precision of 2.2 is obtained over Summit station in Greenland. Cloud contamination and ground heterogeneity are found to have great impact on the product performance. In addition, a statistical method is applied to estimate LST uncertainty attributed to the sensor noise, surface type product imprecision and algorithm itself. The overall theoretical LST uncertainty is about 0.7 K.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122321404","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
A Sub-pixel registration method of UAV oblique images 一种无人机倾斜图像的亚像素配准方法
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730919
Chengyi Wang, Jingbo Chen, Dong-xu He
{"title":"A Sub-pixel registration method of UAV oblique images","authors":"Chengyi Wang, Jingbo Chen, Dong-xu He","doi":"10.1109/IGARSS.2016.7730919","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730919","url":null,"abstract":"Since UAV oblique sequence images have large differences in perspective, it is difficult to achieve fully automatic, highly accurate registration using conventional image registration methods. To solve this problem, we present a sub-pixel image registration method based on ASIFT. Position of match points is corrected using the weighted least squares algorithm affine model (WLSM) one by one. Characteristics are selected and initial parameters estimation is also done through adaptive maximum cross-correlation algorithm (NCC). Experiments show that the proposed method is superior to conventional methods, such as SIFT and ASIFT, and this Method can achieve sub-pixel level registration precision.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122419411","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
Decomposing soil and vegetation contributions in polarimetric L- and P- band SAR observations 极化L波段和P波段SAR观测中土壤和植被的分解贡献
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730970
S. H. Alemohammad, T. Jagdhuber, M. Moghaddam, D. Entekhabi
{"title":"Decomposing soil and vegetation contributions in polarimetric L- and P- band SAR observations","authors":"S. H. Alemohammad, T. Jagdhuber, M. Moghaddam, D. Entekhabi","doi":"10.1109/IGARSS.2016.7730970","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730970","url":null,"abstract":"Microwave-based retrieval of soil moisture in vegetated areas have uncertainties due the sensitivity of the signal to vegetation structure and dielectric constant. In this study, we propose a framework for developing a joint active L-band and active P-band retrieval algorithm to decrease the retrieval uncertainties. The algorithm focuses on the decomposition of soil, vegetation and dihedral components to compare the observations from the two frequencies.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122672985","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
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