N. Skou, S. Kristensen, Teemu Ruokokoski, J. Lahtinen
{"title":"On-board digital RFI and polarimetry processor for future spaceborne radiometer systems","authors":"N. Skou, S. Kristensen, Teemu Ruokokoski, J. Lahtinen","doi":"10.1109/IGARSS.2012.6350685","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350685","url":null,"abstract":"Man-made Radio Frequency Interference (RFI) is an increasingly threatening problem for passive microwave radiometry from space. The problem is presently very evident in L-band data from SMOS, but it is realized that it is already now a problem at other traditional radiometer bands at C, X, and Ku bands. Studies of data from existing radiometer systems have revealed this, and clearly indicates increasing RFI intensity over time. Thus, future missions have to take this into consideration, and dedicated hardware and algorithms to safely detect and mitigate RFI must be included. The design of such an RFI processor is discussed, and resource demands on the spacecraft are indicated.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115355613","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}
{"title":"Water storage changes over great lake from satellite gravimetry and tidal data","authors":"He Huang, Ruoming Shi, G. Yan","doi":"10.1109/IGARSS.2012.6351433","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351433","url":null,"abstract":"In this study, by processing the 78 months of GRACE Satellite data, validates the performance of GRACE solutions in the detection of water mass variations and compared with tidal data derived water circulation cycle of the Great Lakes. The results show that the GRACE monthly gravity field model can reflect the changes in the Great Lakes area, including the annual and seasonal changes. Combination of satellite altimetry data to further understand the water cycle of Caspian Sea, that is between groundwater and lake water infiltration cycle.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122411952","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}
Xuetong Xie, Mingsen Lin, Kehai Chen, Zhou Huang, Lixia Liu, Dongxuan Tian, Xiaoning Wang, Wenxin Chen, R. He, Juhong Zou
{"title":"A wind direction extension based algorithm for scatterometer wind vector retrieval","authors":"Xuetong Xie, Mingsen Lin, Kehai Chen, Zhou Huang, Lixia Liu, Dongxuan Tian, Xiaoning Wang, Wenxin Chen, R. He, Juhong Zou","doi":"10.1109/IGARSS.2012.6350845","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350845","url":null,"abstract":"According to the lower efficiency and larger wind direction errors in the nadir region of the swath, a new combined wind retrieval algorithm is proposed for conically scanning scatterometer in this paper. The presented algorithm has the dual advantages of both higher efficiency and higher wind direction retrieval accuracy by combining the wind speed standard deviation algorithm and the wind direction interval retrieval(DIR) algorithm. It adopts wind speed standard deviation as criterion for searching possible wind vector solutions and retrieves potential wind direction interval for the first and second ambiguities based on the change rate of the wind speed standard deviation. Some SeaWinds L2A data and collocated buoy data were used to validate the algorithm. Retrieval experiments indicated that the algorithm can significantly reduce the wind direction retrieval errors in the nadir region.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133879531","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}
{"title":"Computation of modal decompositions for studying electromagnetic induction","authors":"M. McFadden, W. Scott","doi":"10.1109/IGARSS.2012.6351529","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351529","url":null,"abstract":"In this paper, a numerical method for calculating the wideband, low-frequency, eddy-current response of a metallic body-of-revolution is described. Solutions are given in a modal decomposition that can be related to the discrete spectrum of relaxation frequencies and the measured magnetic polarizability dyadic. Calculated responses are compared with the analytically known solution for a sphere and measured responses for a cylinder. A graph of the relaxation frequencies and moments for the two most dominant modes in a cylinder, given as a function of aspect ratio, is provided.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087683","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}
{"title":"Multi-relaxation generalized refractive mixing dielectric model of moist soils","authors":"V. Mironov, P. Bobrov, S. Fomin","doi":"10.1109/IGARSS.2012.6352444","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352444","url":null,"abstract":"In this paper, a multi-relaxation generalized refractive mixing dielectric model (GRMDM) for moist soil is proposed and substantiated in the frequency range from 0.03 to 26.5 GHz. This model is based on the GRMDM of [1] developed in the range of GHz frequencies, considering only the dipole relaxation of water in the soil. The error of this model was shown to noticeably increase with the transition to the MHz range. Because in this range, one more relaxation, that is, ionic (Maxwell-Wagner) relaxation largely affects on the complex dielectric constant. The multi-frequency relaxation GRMDM developed in this paper compensates for this disadvantage of the single-relaxation GRMDM. In this model, the two-frequency relaxation Debye equation for the dielectric spectra of bound water has been used, thus expanding the scope of the GRMDM to the MHz range. The main advantage of this model is that it predicts complex dielectric constant of moist soils simultaneously in the GHz and MHz ranges.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127792858","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}
Ke Chen, Wei Guo, Hong Yang, Rong Jin, Guanli Yi, Fei Hu, Jinhai Sun
{"title":"Error model and calibration of synthetic aperture interferometric radiometer based on visibility function","authors":"Ke Chen, Wei Guo, Hong Yang, Rong Jin, Guanli Yi, Fei Hu, Jinhai Sun","doi":"10.1109/IGARSS.2012.6350433","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6350433","url":null,"abstract":"Traditionally, the system errors of synthetic aperture interferometric radiometers (SAIRs) are analyzed and classified by the causes they are generated, which is easy for understanding but complicated for calibration. This paper presents a new error model based on the visibility function to analyze the system errors of SAIRs. In this model the system errors are classified by their effects on the ideal visibility function, which is simple for calibration. Firstly, the error model based on the visibility function is proposed, in which the errors according to their effects on the ideal visibility function are grouped in: 1) the orientation-independent multiplicative error, 2) the orientation-dependent multiplicative error, and 3) the additive error. Then, the two overall calibration methods respectively using external reference source and external reference scene are proposed. Finally, the preliminary calibration experiment results on the 8mm-band HUST-SAIR prototype show the validity of the error model and the overall calibration methods. The study in this paper provides a means to reduce the complexity of calibration routine of SAIRs and to improve the imaging performance of SAIRs.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115317836","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}
Jianjun Liu, Zenbin Wu, Zhihui Wei, Liang Xiao, Le Sun
{"title":"A novel sparsity constrained nonnegative matrix factorization for hyperspectral unmixing","authors":"Jianjun Liu, Zenbin Wu, Zhihui Wei, Liang Xiao, Le Sun","doi":"10.1109/IGARSS.2012.6351277","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351277","url":null,"abstract":"Sparsity is an intrinsic property of hyperspectral images, which means that the collected pixels can be represented by a part of materials. In this paper, a new sparsity based method for hyperspectral unmixing is proposed, referred to as the constrained sparse nonnegative matrix factorization (CSNMF). First, a novel sparse term which is explored to measure the sparsity of hyperspectral images is introduced to restrict the abundances. Second, minimum distance constraint which is convex is applied to restrict the endmembers. Then the alternating direction method of multipliers (ADMM) is used to solve the proposed CSNMF. The experimental results based on both synthetic mixtures and a real image scene demonstrate the effectiveness of the proposed approach.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"412 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116243711","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}
{"title":"Wetland water segmentation using multi-angle and polarimetric Radarsat-2 datasets","authors":"Sophie Allain-Bailhache, C. Marechal, E. Pottier","doi":"10.1109/IGARSS.2012.6352510","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352510","url":null,"abstract":"The segmentation of open water areas plays an important role in the wetland monitoring. Moreover, a veil of mist often covers this kind of land and the use of optical sensors is quite limited. In this paper, the open water segmentation is applied over Radarsat-2 images acquired in the north west of France. Results obtained for different incidence angle are presented and validated using meteorological data.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127042210","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}
Kunpeng Yi, H. Tani, Xiufeng Wang, M. Guo, Guosheng Zhong
{"title":"Spatio-temporal distribution of forest fires and vegetation recovery in the Northeast of China","authors":"Kunpeng Yi, H. Tani, Xiufeng Wang, M. Guo, Guosheng Zhong","doi":"10.1109/IGARSS.2012.6352730","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6352730","url":null,"abstract":"Post-fire vegetation can be monitored and analyzed over large areas in a time- and cost-effective manner by using satellite sensor imagery in combination with spatial analysis as provided by Geographical Information Systems (GIS). In this study, spatio-temporal distribution dynamics of burned area in the Northeast of China were analyzed by using a time series of MODIS Burned Area Product (MCD45) data from 2000 to 2010. The forest area damage caused by a large fire which occurred in the northeast of china, in May 1987 was also analyzed as a case study using Landsat TM/ETM+ images. Digital image processing methods, such as spectral profile analysis, vegetation indices and burn severity classification, were applied to the satellite images acquired before and after the forest fire. The inter-annual vegetation dynamic before, after fire events shows that vegetation recovery is a slow process, even after 23 years, some low-severely burned areas still exist in the maps.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125854941","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}
{"title":"Sparse endmember extraction and demixing","authors":"M. Ehler, M. Hirn","doi":"10.1109/IGARSS.2012.6351278","DOIUrl":"https://doi.org/10.1109/IGARSS.2012.6351278","url":null,"abstract":"A novel algorithm for endmember extraction is presented. The approach follows the linear mixture model for hyperspectral data. Endmembers are identified based on sparsity consideration. Theoretical and experimental results suggest the potential of the method.","PeriodicalId":193438,"journal":{"name":"2012 IEEE International Geoscience and Remote Sensing Symposium","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127583736","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}