Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5652955
A. Colliander, K. McDonald, R. Zimmermann, Thomas Linke, R. Schroeder, J. Kimball, E. Njoku
The mapping of freeze/thaw state of the landscape is one of the main objectives of NASA's upcoming SMAP (Soil Moisture Active and Passive) mission. This study applies ALECTRA (Alaska Ecological Transect) biophysical network and QuikSCAT scatterometer data to evaluate some of the validation issues regarding the SMAP freeze/thaw measurements. Although the QuikSCAT data is at Ku-band frequency, rather than the L-band of the SMAP instrument, the data is utilized due to its uniquely high temporal resolution over the ALECTRA sites. The results show that multiple temperature measurements representative of individual landscape (soil, snow cover, vegetation and atmosphere) elements and spatial heterogeneity within the satellite field-of-view are important for understanding the radar backscatter process and aggregate freeze/thaw signal. The backscatter temporal dynamics and relative contribution of these landscape elements to the freeze-thaw signal varies with land cover type, seasonal weather and climate conditions.
{"title":"Quikscat backscatter sensitivity to landscape freeze/thaw state over ALECTRA sites in Alaska from 2000 to 2007: Application to SMAP validation planning","authors":"A. Colliander, K. McDonald, R. Zimmermann, Thomas Linke, R. Schroeder, J. Kimball, E. Njoku","doi":"10.1109/IGARSS.2010.5652955","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652955","url":null,"abstract":"The mapping of freeze/thaw state of the landscape is one of the main objectives of NASA's upcoming SMAP (Soil Moisture Active and Passive) mission. This study applies ALECTRA (Alaska Ecological Transect) biophysical network and QuikSCAT scatterometer data to evaluate some of the validation issues regarding the SMAP freeze/thaw measurements. Although the QuikSCAT data is at Ku-band frequency, rather than the L-band of the SMAP instrument, the data is utilized due to its uniquely high temporal resolution over the ALECTRA sites. The results show that multiple temperature measurements representative of individual landscape (soil, snow cover, vegetation and atmosphere) elements and spatial heterogeneity within the satellite field-of-view are important for understanding the radar backscatter process and aggregate freeze/thaw signal. The backscatter temporal dynamics and relative contribution of these landscape elements to the freeze-thaw signal varies with land cover type, seasonal weather and climate conditions.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419380","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5653906
C. Creusere, Ketan Mehta, D. Voelz
Imaging polarimetry has emerged as a powerful tool for application in the field of remote sensing. In this paper, we present a novel technique for estimating the surface normal angle of each of the individual facets of a target object using passive polarimetric data. The passive polarimetric imaging system described here uses multiple measurements of the output Stokes vectors along with the reflection Mueller matrix, to extract the surface normal angle corresponding to individual facets of the target object. The knowledge of this parameter is indispensable for determining the orientation and surface geometry of the target object and thus facilitates applications like object recognition, shape extraction and building scene geometry. The worst-case error is found to be less than 2%, based on Monte Carlo computer simulation results.
{"title":"Model-based estimation of surface geometry using passive polarimetric imaging","authors":"C. Creusere, Ketan Mehta, D. Voelz","doi":"10.1109/IGARSS.2010.5653906","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653906","url":null,"abstract":"Imaging polarimetry has emerged as a powerful tool for application in the field of remote sensing. In this paper, we present a novel technique for estimating the surface normal angle of each of the individual facets of a target object using passive polarimetric data. The passive polarimetric imaging system described here uses multiple measurements of the output Stokes vectors along with the reflection Mueller matrix, to extract the surface normal angle corresponding to individual facets of the target object. The knowledge of this parameter is indispensable for determining the orientation and surface geometry of the target object and thus facilitates applications like object recognition, shape extraction and building scene geometry. The worst-case error is found to be less than 2%, based on Monte Carlo computer simulation results.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"12383 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129688299","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}
In this paper, a novel classification processing based on the spatial information and the concept of Adaboost for hyperspectral image classification is proposed. This classification process is named as adaptive feature extraction with spatial information (AdaFESI). The main idea is adaptive in the sense that subsequent feature spaces are tweaked in favor of those instances misclassified by spectral or spatial classifiers in the previous feature space. All training samples are projected into these feature spaces to train various classifiers and then constitute a multiple classifier system. The experimental results based on two hyperspectral data sets show that the proposed algorithm can generate better classification results.
{"title":"A novel classification processing based on the spatial information and the concept of Adaboost for hyperspectral image classification","authors":"Bor-Chen Kuo, Shih-Syun Lin, Huey-Min Wu, Chun-Hsiang Chuang","doi":"10.1109/IGARSS.2010.5650388","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650388","url":null,"abstract":"In this paper, a novel classification processing based on the spatial information and the concept of Adaboost for hyperspectral image classification is proposed. This classification process is named as adaptive feature extraction with spatial information (AdaFESI). The main idea is adaptive in the sense that subsequent feature spaces are tweaked in favor of those instances misclassified by spectral or spatial classifiers in the previous feature space. All training samples are projected into these feature spaces to train various classifiers and then constitute a multiple classifier system. The experimental results based on two hyperspectral data sets show that the proposed algorithm can generate better classification results.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753102","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5649324
Y. Wang, Yong Xue, J. Guang, Yingjie Li, L. Mei, Hui Xu, Jianwen Ai, Qiang Li
In addition to climate-related processes, aerosol effects are also enormous in regional/local atmospheric phenomena. Fine resolution satellite data can be used to provide a macro-view of extreme aerosol events. The Aerosol Optical Thickness (AOT) for two extreme aerosol events were retrieved with spatial resolution 500m over East of China and Washington state, USA, respectively. Validation confirms that the retrieval would be trustable to some extent. Retrieved AOT at 500m resolution, NASA's AOT products from MODIS data at 10km resolution and NASA's snapshot views are utilized to analyze these two extreme aerosol events. Retrieved AOT maps at 500m resolution reveal much of the tendency and are smoother, which would be complementary to NASA products.
{"title":"Aerosol optical thickness from modis data at 500M resolution for two extreme aerosol events analysis","authors":"Y. Wang, Yong Xue, J. Guang, Yingjie Li, L. Mei, Hui Xu, Jianwen Ai, Qiang Li","doi":"10.1109/IGARSS.2010.5649324","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649324","url":null,"abstract":"In addition to climate-related processes, aerosol effects are also enormous in regional/local atmospheric phenomena. Fine resolution satellite data can be used to provide a macro-view of extreme aerosol events. The Aerosol Optical Thickness (AOT) for two extreme aerosol events were retrieved with spatial resolution 500m over East of China and Washington state, USA, respectively. Validation confirms that the retrieval would be trustable to some extent. Retrieved AOT at 500m resolution, NASA's AOT products from MODIS data at 10km resolution and NASA's snapshot views are utilized to analyze these two extreme aerosol events. Retrieved AOT maps at 500m resolution reveal much of the tendency and are smoother, which would be complementary to NASA products.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129864963","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5651660
G. Tana, H. Letu, B. Erdenee, R. Tateishi
The Global Land Cover by National Mapping Organizations (GLCNMO) is the product of the Global Mapping Project organized by International Steering Committee for Global Mapping (ISCGM). The GLCNMO is a global 1km land cover data set produced by 16-day composite MODIS data observed in 2003. The accuracy assessment of the map has been completed by a stratified random sampling method. The overall accuracy is 76.5%. The accuracy assessment result also shows that the needleleaf evergreen forest and the needleleaf deciduous forest were misclassified into each other. With this problem in mind, Needleleaf evergreen forest and Needleleaf deciduous forest in the GLCNMO were selected for reclassification. In the new classification process, the NDVI patterns were used. Finally, the needleleaf evergreen forest and the needleleaf deciduous forest in the GLCNMO were compared with the same land cover types in other two global land cover products IGBP DISCover and GLC2000 from total pixel number, per-pixel and the ground truth data points of view.
{"title":"Comparison of needleleaf deciduous forest and needleleaf evergreen forest in the GLCNMO with IGBP discover and GLC2000 product","authors":"G. Tana, H. Letu, B. Erdenee, R. Tateishi","doi":"10.1109/IGARSS.2010.5651660","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651660","url":null,"abstract":"The Global Land Cover by National Mapping Organizations (GLCNMO) is the product of the Global Mapping Project organized by International Steering Committee for Global Mapping (ISCGM). The GLCNMO is a global 1km land cover data set produced by 16-day composite MODIS data observed in 2003. The accuracy assessment of the map has been completed by a stratified random sampling method. The overall accuracy is 76.5%. The accuracy assessment result also shows that the needleleaf evergreen forest and the needleleaf deciduous forest were misclassified into each other. With this problem in mind, Needleleaf evergreen forest and Needleleaf deciduous forest in the GLCNMO were selected for reclassification. In the new classification process, the NDVI patterns were used. Finally, the needleleaf evergreen forest and the needleleaf deciduous forest in the GLCNMO were compared with the same land cover types in other two global land cover products IGBP DISCover and GLC2000 from total pixel number, per-pixel and the ground truth data points of view.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129939454","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5650797
Xiaolong Dong, Di Zhu, Wenming Lin, Heguang Liu, Jingshan Jiang
This paper introduces the design and simulation results of a Ku-band rotating fan-beam radar scatterometer for ocean surface wind vector measurement. It will be flown on a small satellite dedicated to provide data for investigation of the ocean wave and ocean surface wind vector interactions, along with another payload for measurement of directional ocean wave spectra by a real-aperture radar with multiple scanned pencil beams. Key issues about the design of a Ku-band rotating fan-beam radar scatterometer, and results of performance simulations are provided as well. The performance of the system is simulated by the absolute and relative specifications. For the absolute specifications, retrieval performances for both wind speed and wind direction are evaluated, with the maximum likelihood method being employed. For the relative specifications, the figures of merit (FOM) is simulated, for comparison with other Ku-band scatterometers and optimization of system parameters. Simulation results of both the σ° precision and wind retrieval accuracies for different wind speed from 4m/s to 24m/s will be provided, which shows that SCAT can satisfy the performance requirements within most part of the swath.
{"title":"A Ku-band rotating fan-beam scatterometer: Design and performance simulations","authors":"Xiaolong Dong, Di Zhu, Wenming Lin, Heguang Liu, Jingshan Jiang","doi":"10.1109/IGARSS.2010.5650797","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650797","url":null,"abstract":"This paper introduces the design and simulation results of a Ku-band rotating fan-beam radar scatterometer for ocean surface wind vector measurement. It will be flown on a small satellite dedicated to provide data for investigation of the ocean wave and ocean surface wind vector interactions, along with another payload for measurement of directional ocean wave spectra by a real-aperture radar with multiple scanned pencil beams. Key issues about the design of a Ku-band rotating fan-beam radar scatterometer, and results of performance simulations are provided as well. The performance of the system is simulated by the absolute and relative specifications. For the absolute specifications, retrieval performances for both wind speed and wind direction are evaluated, with the maximum likelihood method being employed. For the relative specifications, the figures of merit (FOM) is simulated, for comparison with other Ku-band scatterometers and optimization of system parameters. Simulation results of both the σ° precision and wind retrieval accuracies for different wind speed from 4m/s to 24m/s will be provided, which shows that SCAT can satisfy the performance requirements within most part of the swath.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422727","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5649568
Y. Qian, Qi Wang
Hyperspectral unmixing can be considered as a blind source separation (BSS) and/or independent component analysis (ICA) problem. This paper presents a new noise-resistant subband decomposition BSS/ICA approach for hyperspectral unmixing. Subband decomposition BSS relaxes the assumption that the source signals are mutual independent, which has been proved successful in some BSS applications. However, the existing subband decomposition and subband selection methods emphasize the “independence” of sub-components, but ignore the impact of their “noise”. It is well known that most subband decomposition such as wavelet and fourier transforms have been successfully used for noise removal, so simultaneously considering independence and noise through subband decomposition is possible. In this paper, we propose wavelet package transform for subband decomposition, independence-and-noise joint measure based ranking method for subband selection. The experimental results indicate that the proposed methods are promising in hyperspectral unmixing.
{"title":"Noise-robust subband decomposition blind signal separation for hyperspectral unmixing","authors":"Y. Qian, Qi Wang","doi":"10.1109/IGARSS.2010.5649568","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649568","url":null,"abstract":"Hyperspectral unmixing can be considered as a blind source separation (BSS) and/or independent component analysis (ICA) problem. This paper presents a new noise-resistant subband decomposition BSS/ICA approach for hyperspectral unmixing. Subband decomposition BSS relaxes the assumption that the source signals are mutual independent, which has been proved successful in some BSS applications. However, the existing subband decomposition and subband selection methods emphasize the “independence” of sub-components, but ignore the impact of their “noise”. It is well known that most subband decomposition such as wavelet and fourier transforms have been successfully used for noise removal, so simultaneously considering independence and noise through subband decomposition is possible. In this paper, we propose wavelet package transform for subband decomposition, independence-and-noise joint measure based ranking method for subband selection. The experimental results indicate that the proposed methods are promising in hyperspectral unmixing.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458994","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5653246
S. Perna, C. Wimmer, J. Moreira, G. Fornaro
Differential SAR Interferometry (DInSAR) is a remote sensing technique which allows monitoring ground deformation with accuracy of the order of the transmitted wavelength by exploiting the phase difference (interferogram) of two temporally separated SAR images relevant to the same area.
{"title":"Airborne DInSAR time series at X-Band","authors":"S. Perna, C. Wimmer, J. Moreira, G. Fornaro","doi":"10.1109/IGARSS.2010.5653246","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653246","url":null,"abstract":"Differential SAR Interferometry (DInSAR) is a remote sensing technique which allows monitoring ground deformation with accuracy of the order of the transmitted wavelength by exploiting the phase difference (interferogram) of two temporally separated SAR images relevant to the same area.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752609","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5649795
Jianjun Wu, Jie Zhang, Lei Zhou, Jianliang Nie
Water is important for the growth of plants. In agriculture, Equivalent Water Thickness (EWT) is commonly used to express vegetation moisture status. Due to its simplicity, spectral indices are widely used for EWT prediction in the operational context. Currently, many indices have been proposed for estimating EWT. However, the performances of spectral indices may vary under different conditions. In this paper, we mainly investigated the performances of five spectral indices for determination of EWT with different variations and at different water levels. According to the results, all five spectral indices show good estimation for EWT with a large variation; with the decrease of sample variations, the performances of all spectral indices decline; and the strengths of spectral indices for EWT estimation vary at different water levels. Generally, the performances of spectral indices show a declining tendency as EWT increases. Of five indices, MSI produces the best estimation for low-level and medium-level EWT and WI performs best for estimating high-level EWT.
水对植物的生长很重要。在农业中，常用等效水厚(Equivalent Water Thickness, EWT)来表示植被的水分状况。由于谱指数的简单性，在实际应用中被广泛应用于EWT预测。目前，人们提出了许多估算EWT的指标。然而，在不同的条件下，光谱指数的性能可能会有所不同。本文主要研究了5种光谱指标在不同变化和不同水位下测定水排量的性能。结果表明，5种光谱指标均能较好地估计EWT，但变化较大;随着样本变化的减小，各光谱指标的性能均下降;不同水位下EWT估算的光谱指标强度不同。总体上，随着EWT的增大，光谱指标的性能呈下降趋势。在五个指数中，MSI对低水平和中等水平的EWT产生了最好的估计，而WI对高水平EWT的估计效果最好。
{"title":"Performance evaluation of spectral indices to estimate equivalent water thickness","authors":"Jianjun Wu, Jie Zhang, Lei Zhou, Jianliang Nie","doi":"10.1109/IGARSS.2010.5649795","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649795","url":null,"abstract":"Water is important for the growth of plants. In agriculture, Equivalent Water Thickness (EWT) is commonly used to express vegetation moisture status. Due to its simplicity, spectral indices are widely used for EWT prediction in the operational context. Currently, many indices have been proposed for estimating EWT. However, the performances of spectral indices may vary under different conditions. In this paper, we mainly investigated the performances of five spectral indices for determination of EWT with different variations and at different water levels. According to the results, all five spectral indices show good estimation for EWT with a large variation; with the decrease of sample variations, the performances of all spectral indices decline; and the strengths of spectral indices for EWT estimation vary at different water levels. Generally, the performances of spectral indices show a declining tendency as EWT increases. Of five indices, MSI produces the best estimation for low-level and medium-level EWT and WI performs best for estimating high-level EWT.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128250982","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5653797
Simon Reuter, F. Behner, H. Nies, O. Loffeld, D. Matthes, J. Schiller
In this paper, the development of a stationary SAR receiver system using TerraSAR-X as transmitter is described. First the bistatic geometry and expected resolution are considered. After giving an overview of the hardware setup, the expected performance of the system is evaluated. The paper ends with the processed results of a measurement campaign performed in summer and fall 2009, and a comparison with the monostatic data acquired by the TerraSAR-X satellite.
{"title":"Development and experiments of a passive SAR receiver system in a bistatic spaceborne/stationary configuration","authors":"Simon Reuter, F. Behner, H. Nies, O. Loffeld, D. Matthes, J. Schiller","doi":"10.1109/IGARSS.2010.5653797","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653797","url":null,"abstract":"In this paper, the development of a stationary SAR receiver system using TerraSAR-X as transmitter is described. First the bistatic geometry and expected resolution are considered. After giving an overview of the hardware setup, the expected performance of the system is evaluated. The paper ends with the processed results of a measurement campaign performed in summer and fall 2009, and a comparison with the monostatic data acquired by the TerraSAR-X satellite.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128487640","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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