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2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)最新文献

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Morphological tools for spatial and multiscale analysis of passive microwave remote sensing data 被动微波遥感数据空间和多尺度分析的形态学工具
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530523
Sébastien Lefèvre, E. Aptoula
{"title":"Morphological tools for spatial and multiscale analysis of passive microwave remote sensing data","authors":"Sébastien Lefèvre, E. Aptoula","doi":"10.1109/MICRORAD.2016.7530523","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530523","url":null,"abstract":"Earth Observation through microwave radiometry is particularly useful for various applications, e.g., soil moisture, ocean salinity, or sea ice cover. However, most of the image processing/data analysis techniques aiming to provide automatic measurement from remote sensing data do not rely on any spatial information, similarly to the early years of optical/hyperspectral remote sensing. After more than a decade of research, it has been observed that spatial information can very significantly improve the accuracy of land use/land cover maps. In this context, the goal of this paper is to propose a few insights on how spatial information can benefit to (passive) microwave remote sensing. To do so, we focus here on mathematical morphology and provide some illustrative examples where morphological operators can improve the processing and analysis of microwave radiometric information. Such tools had great influence on multispectral/hyperspectral remote sensing in the past, and are expected to have a similar impact in the microwave field in the future, with the launch of upcoming missions with improved spatial resolution, e.g. SMOS-NEXT.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114805389","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
Diurnal variation of brightness temperature of terrestrial snow during snowmelt 融雪期间陆相积雪亮温的日变化
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530514
M. Hallikainen, J. Lemmetyinen
{"title":"Diurnal variation of brightness temperature of terrestrial snow during snowmelt","authors":"M. Hallikainen, J. Lemmetyinen","doi":"10.1109/MICRORAD.2016.7530514","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530514","url":null,"abstract":"We have compared theoretical 37 GHz and 16.5 GHz vertically polarized brightness temperatures (incidence angle 50 degrees off nadir) with experimental time series data obtained over a 26-hr period in an extensive ground-based experiment in southern Finland. During the 26-hr monitoring effort, the snowpack included a variety of dry and wet snow layers (top layer mentioned first) dry/wet snow, wet/dry/wet snow, dry/wet/dry/wet snow, and, again, dry/wet snow, with the characteristics of each layer varying considerably with time.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128932220","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
Performance of a processor for on-board RFI detection and mitigation in MetOpSG radiometers MetOpSG辐射计中用于机载RFI检测和缓解的处理器性能
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530504
N. Skou, S. Kristensen, J. Lahtinen, A. Kovanen
{"title":"Performance of a processor for on-board RFI detection and mitigation in MetOpSG radiometers","authors":"N. Skou, S. Kristensen, J. Lahtinen, A. Kovanen","doi":"10.1109/MICRORAD.2016.7530504","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530504","url":null,"abstract":"An RFI processor breadboard has been designed and developed for the second generation MetOp satellites. RFI detection is based on the anomalous amplitude, kurtosis, and cross-frequency algorithms. These are implemented in VHDL code in an FPGA. Thus algorithm performance can very well be assessed by proper code simulation. Such simulations show that the kurtosis algorithm as implemented works according to theory when subjected to pulsed sinusoidal and QPSK signals.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123649813","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
Global precipitation measurement microwave imager (GMI) On-orbit calibration 全球降水测量微波成像仪在轨定标
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530527
D. Draper, D. Newell, F. Wentz
{"title":"Global precipitation measurement microwave imager (GMI) On-orbit calibration","authors":"D. Draper, D. Newell, F. Wentz","doi":"10.1109/MICRORAD.2016.7530527","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530527","url":null,"abstract":"The refining of the GMI calibration on-orbit has involved a number of activities to directly measure key calibration parameters. The activities have included 1) using the backup calibration from the noise diodes to direction measure stability-related terms, 2) inter-comparison with other satellites, 3) observatory attitude maneuvers, and 4) long-term averaging of cold counts. The resulting GMI absolute calibration accuracy is about 0.25K 1-sigma bias over the ocean.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124322573","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
Evaluation and comparison of RFI detection algorithms RFI检测算法的评价与比较
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530505
J. Lahtinen, J. Uusitalo, Teemu Ruokokoski, J. Ruoskanen
{"title":"Evaluation and comparison of RFI detection algorithms","authors":"J. Lahtinen, J. Uusitalo, Teemu Ruokokoski, J. Ruoskanen","doi":"10.1109/MICRORAD.2016.7530505","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530505","url":null,"abstract":"Anthropogenic Radio Frequency Interference (RFI) is an increasing problem in microwave remote sensing radiometry. Therefore, there is a growing interest on methods to detect and filter RFI. In this study, the performance of several different detection algorithms has been studied and compared to detect Continuous Wave (CW), QPSK modulated, and pulse modulated (with 0.1%, 1%, and 10% duty cycles) RFI. The mission scenario corresponds a spaceborne, polar-orbiting, conically scanning microwave radiometer. However, the qualitative results (e.g., the relative performances of algorithms) are applicable to other scenarios as well. It has been shown that RFI detection thresholds in 1 K range can be achieved in this scenario if complementary RFI detection algorithms can be incorporated in the system, e.g., in a digital RFI processor. Even 0.1 K level can be achieved for pulsed RFI with low duty cycles. Kurtosis and spectral kurtosis are effective in detecting pulsed RFI but not optimal in detecting constant envelope signals (such as CW or QPSK). Spectral Density Estimation and polarimetry, on the other hand, have a performance that is independent on the modulation or duty cycle of the RFI - they are sensitive to the average power.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124515613","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
Faraday rotation and the SMAP radiometer 法拉第旋转和SMAP辐射计
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530497
D. L. Le Vine, S. Abraham
{"title":"Faraday rotation and the SMAP radiometer","authors":"D. L. Le Vine, S. Abraham","doi":"10.1109/MICRORAD.2016.7530497","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530497","url":null,"abstract":"Faraday rotation is an issue to be taken into account in remote sensing from space at L-band. This is especially so for a conical scanner such as SMAP with a focus on soil moisture because the rotation angle varies with position around the scan and because the angle retrieved over land is noisy. Examples are reported. This is part of research to determine the accuracy of the retrieval of the rotation angle and the optimum way to deal with Faraday rotation over land.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995205","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
Comparison of real-time time-frequency RFI mitigation techniques in microwave radiometry 微波辐射测量中实时时频RFI抑制技术的比较
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530506
J. Querol, R. Onrubia, D. Pascual, A. Alonso-Arroyo, H. Park, Adriano Camps
{"title":"Comparison of real-time time-frequency RFI mitigation techniques in microwave radiometry","authors":"J. Querol, R. Onrubia, D. Pascual, A. Alonso-Arroyo, H. Park, Adriano Camps","doi":"10.1109/MICRORAD.2016.7530506","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530506","url":null,"abstract":"Radio-Frequency Interference (RFI) is a well-known problem for Microwave Radiometers (MWR). A number of RFI mitigation techniques have been studied to deal with RFI from the receiver's side. In this study, a comparison in terms of performance among several real-time time-frequency RFI mitigation techniques is presented. Time-frequency techniques are of high importance because the vast majority of RFI signals are well-localized in the time-frequency space. The five techniques compared under study are: Pulse Blanking (PB), Frequency Blanking (FB), Spectrogram Blanking (SB), Wavelet Denoising (WD), and Multiresolution Fourier Transform (MFT). Results show that the best performance depends on the particular type of RFI, and occurs when the transform basis is similar to the RFI, that is, the projection on that particular basis is maximized. However, there is not a single technique that is effective for all RFI signals, and future approaches may be based on a combination of several techniques.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128005531","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: 5
Brightness temperature spatial correlations in SMOS antenna SMOS天线的亮温空间相关
2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Pub Date : 2016-04-11 DOI: 10.1109/MICRORAD.2016.7530519
J. Martínez, A. Turiel, V. González-Gambau, E. Olmedo
{"title":"Brightness temperature spatial correlations in SMOS antenna","authors":"J. Martínez, A. Turiel, V. González-Gambau, E. Olmedo","doi":"10.1109/MICRORAD.2016.7530519","DOIUrl":"https://doi.org/10.1109/MICRORAD.2016.7530519","url":null,"abstract":"The European Space Agency mission Soil Moisture and Ocean Salinity (SMOS) is devoted, since its launch in 2009, to provide global soil moisture and sea surface salinity values. SMOS uses an L band 2-D interferometric radiometer by aperture synthesis to obtain polarimetric brightness temperature images. This work is devoted to compute the spatial correlations in the measured antenna brightness temperature. Those correlations can be characterized in terms of effective point spread functions (PSFs). Thus, the PSFs for SMOS are also computed for each point of the antenna. Departing from SMOS data, it is found that two-point correlations, as well as point spread functions, can be assumed as translational invariants. Therefore, PSFs can be described in terms of a convolution kernel. Although computing two-point correlation needs about one month of data, the PSF convolution kernel can be computed using a single orbit. This fact, allows us to use it as a metric to assess the effect of changes in processing procedures or calibration methods.","PeriodicalId":330696,"journal":{"name":"2016 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129184588","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
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