Pub Date : 2015-07-26DOI: 10.1109/IGARSS.2015.7326704
Martin Danner, T. Hank, Matthias Locherer, W. Mauser
The aim of this study is to find a relationship between phenology of winter wheat canopies and the structure parameter N by inversion of the PROSAIL model. In the course of a field campaign conducted in 2014, 11 parameters of canopy architecture and leaf optical properties were measured. Spectral signatures were recorded simultaneously. PROSAIL spectra resulting from the measured parameters were subsequently compared to the measured reflectances. A numerical optimization was performed in which noise was added to most parameters. At the same time, N was increased stepwise to find its best performing value. Deviations between modelled and measured spectra were higher for the original dataset in comparison to the optimized one. A tendency towards higher deviations at states of senescence could be shown. The optimized values for N increased over the season, but a significant trend could not yet be verified for regression against phenology.
{"title":"Analyzing uncertainties in simulated canopy reflectance through exhaustive comparison with in-situ measured optical properties","authors":"Martin Danner, T. Hank, Matthias Locherer, W. Mauser","doi":"10.1109/IGARSS.2015.7326704","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326704","url":null,"abstract":"The aim of this study is to find a relationship between phenology of winter wheat canopies and the structure parameter N by inversion of the PROSAIL model. In the course of a field campaign conducted in 2014, 11 parameters of canopy architecture and leaf optical properties were measured. Spectral signatures were recorded simultaneously. PROSAIL spectra resulting from the measured parameters were subsequently compared to the measured reflectances. A numerical optimization was performed in which noise was added to most parameters. At the same time, N was increased stepwise to find its best performing value. Deviations between modelled and measured spectra were higher for the original dataset in comparison to the optimized one. A tendency towards higher deviations at states of senescence could be shown. The optimized values for N increased over the season, but a significant trend could not yet be verified for regression against phenology.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128808002","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326064
A. Marinoni, P. Gamba
As remotely sensed Big Data applications in astrophysics research have been flourishing in the last decade, the need for a new class of techniques and methods for efficient storage, compression, retrieval and investigation of astronomical datasets has become urgent. In this paper, a novel strategy for lossless compression of large datasets composed by remote sensing records is introduced. Specifically, the new approach aims at describing each sample of the given dataset as a point living within a convex hull in a multidimensional space. Thus, the proposed framework aims at characterizing every sample as a nonlinear combination of the extremal points of the aforesaid multidimensional simplex. Therefore, efficient compression can be achieved by describing those samples by the parameters that drive the nonlinear mixture only. Experimental results show how the proposed architecture can effectively deliver great compression performance for both Earth observations and planetary records.
{"title":"Nonlinear endmember extraction in earth observations and astroinformatics data interpretation and compression","authors":"A. Marinoni, P. Gamba","doi":"10.1109/IGARSS.2015.7326064","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326064","url":null,"abstract":"As remotely sensed Big Data applications in astrophysics research have been flourishing in the last decade, the need for a new class of techniques and methods for efficient storage, compression, retrieval and investigation of astronomical datasets has become urgent. In this paper, a novel strategy for lossless compression of large datasets composed by remote sensing records is introduced. Specifically, the new approach aims at describing each sample of the given dataset as a point living within a convex hull in a multidimensional space. Thus, the proposed framework aims at characterizing every sample as a nonlinear combination of the extremal points of the aforesaid multidimensional simplex. Therefore, efficient compression can be achieved by describing those samples by the parameters that drive the nonlinear mixture only. Experimental results show how the proposed architecture can effectively deliver great compression performance for both Earth observations and planetary records.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128245531","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7325707
P. Milillo, D. Perissin, P. Lundgren, C. Serio
Over the last three decades interferometric synthetic aperture radar (InSAR) techniques have attained a fundamental role in surface deformation monitoring. The main importance is given by two key factors: the exploitement of rich SAR data archives and the development of processing techniques able to extract information from these datasets. InSAR time series techniques such as permanent scatterers (PS) or SBAS have proven capable of estimating displacements to with 1 mm precision for targets that show a stable electromagnetic signature. At the same time the availability of SAR constellations with a reduced revisit time, such as the X band COSMO-SkyMed (CSK) and TerraSAR-X/PAZ satellites, has reduced the minimum detectable deformation gradient between two neighboring points and improved the theoretical precision given for a network of selected stable pixels. Independently from the applied processing methodology, the main drawback at X-band is the shorter time interval to temporal decorrelation. This effect can be partially mitigated by a short repeat time acquisitions plan. A technique able to deal with distributed scatterers is fundamental for extending the spatial coverage of the coherent area. In this paper we analyze the potential of X-band COSMO-SkyMed short repeat pass interferometry over a rural area in the southern part of Italy for assessing the capabilities and limitations of the Quasi-PS (QPS) technique in an X-band non-optimal scenario.
{"title":"Cosmo-skymed very short repeat-pass SAR interferometry over rural areas: The VAL D'agri and potenza test cases in Basilicata, Italy","authors":"P. Milillo, D. Perissin, P. Lundgren, C. Serio","doi":"10.1109/IGARSS.2015.7325707","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7325707","url":null,"abstract":"Over the last three decades interferometric synthetic aperture radar (InSAR) techniques have attained a fundamental role in surface deformation monitoring. The main importance is given by two key factors: the exploitement of rich SAR data archives and the development of processing techniques able to extract information from these datasets. InSAR time series techniques such as permanent scatterers (PS) or SBAS have proven capable of estimating displacements to with 1 mm precision for targets that show a stable electromagnetic signature. At the same time the availability of SAR constellations with a reduced revisit time, such as the X band COSMO-SkyMed (CSK) and TerraSAR-X/PAZ satellites, has reduced the minimum detectable deformation gradient between two neighboring points and improved the theoretical precision given for a network of selected stable pixels. Independently from the applied processing methodology, the main drawback at X-band is the shorter time interval to temporal decorrelation. This effect can be partially mitigated by a short repeat time acquisitions plan. A technique able to deal with distributed scatterers is fundamental for extending the spatial coverage of the coherent area. In this paper we analyze the potential of X-band COSMO-SkyMed short repeat pass interferometry over a rural area in the southern part of Italy for assessing the capabilities and limitations of the Quasi-PS (QPS) technique in an X-band non-optimal scenario.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294179","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326470
R. Grimson, N. S. Morandeira, A. Frery
This work presents the use of stochastic measures of similarities as features with statistical significance for the design of despeckling nonlocal means filters. Assuming that the observations follow a Gamma model with two parameters (mean and number of looks), patches are compared by means of the Kullback-Leibler and Hellinger distances, and by their Shannon entropies. A convolution mask is formed using the p-values of tests that verify if the patches come from the same distribution. The filter performances are assessed using well-known phantoms, three measures of quality, and a Monte Carlo experiment with several factors. The proposed filters are contrasted with the Refined Lee and NL-SAR filters.
{"title":"Comparison of nonlocal means despeckling based on stochastic measures","authors":"R. Grimson, N. S. Morandeira, A. Frery","doi":"10.1109/IGARSS.2015.7326470","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326470","url":null,"abstract":"This work presents the use of stochastic measures of similarities as features with statistical significance for the design of despeckling nonlocal means filters. Assuming that the observations follow a Gamma model with two parameters (mean and number of looks), patches are compared by means of the Kullback-Leibler and Hellinger distances, and by their Shannon entropies. A convolution mask is formed using the p-values of tests that verify if the patches come from the same distribution. The filter performances are assessed using well-known phantoms, three measures of quality, and a Monte Carlo experiment with several factors. The proposed filters are contrasted with the Refined Lee and NL-SAR filters.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129151225","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7325853
Xiao-Jing Han, S. Duan, R. Tang, Hai-Qi Liu, Z. Li
Soil moisture plays an important role in the process of energy exchange and water cycle. Soil moisture also provides critical information in agriculture, including crop growth and drought. In this study, the comparison between NASA AMSR-E soil moisture product and ground-based measurement are performed in terms of (1) measurement depths of soil moisture, and (2) satellite overpass times. The results show that the NASA AMSR-E soil moisture product can be used to monitor time-series variation in soil moisture. Compared to the AMSR-E product from descending overpasses, the AMSR-E product from ascending overpasses has better ability in monitoring soil moisture variation. Also the AMSR-E product has better ability in monitoring soil moisture at the depth of 0-10 cm than 10-20 cm.
{"title":"Comparison OF AMSR-E soil moisture product and ground-based measurement over agricultural areas in China","authors":"Xiao-Jing Han, S. Duan, R. Tang, Hai-Qi Liu, Z. Li","doi":"10.1109/IGARSS.2015.7325853","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7325853","url":null,"abstract":"Soil moisture plays an important role in the process of energy exchange and water cycle. Soil moisture also provides critical information in agriculture, including crop growth and drought. In this study, the comparison between NASA AMSR-E soil moisture product and ground-based measurement are performed in terms of (1) measurement depths of soil moisture, and (2) satellite overpass times. The results show that the NASA AMSR-E soil moisture product can be used to monitor time-series variation in soil moisture. Compared to the AMSR-E product from descending overpasses, the AMSR-E product from ascending overpasses has better ability in monitoring soil moisture variation. Also the AMSR-E product has better ability in monitoring soil moisture at the depth of 0-10 cm than 10-20 cm.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129169811","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326229
Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park
Light detection and ranging (LIDAR) scanners are essential components of intelligent vehicles capable of autonomous travel. Obstacle detection functions of autonomous vehicles require very low failure rates. With the increasing number of autonomous vehicles equipped with LIDAR scanners to detect and avoid obstacles and navigate safely through the environment, the probability of mutual interference becomes an important issue. This paper presents a mutual interference scenario and offers an analysis of the interference mechanism.
{"title":"Analysis on the characteristics of mutual interference between pulsed terrestrial LIDAR scanners","authors":"Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park","doi":"10.1109/IGARSS.2015.7326229","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326229","url":null,"abstract":"Light detection and ranging (LIDAR) scanners are essential components of intelligent vehicles capable of autonomous travel. Obstacle detection functions of autonomous vehicles require very low failure rates. With the increasing number of autonomous vehicles equipped with LIDAR scanners to detect and avoid obstacles and navigate safely through the environment, the probability of mutual interference becomes an important issue. This paper presents a mutual interference scenario and offers an analysis of the interference mechanism.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129241109","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326415
F. Rocca
Remote sensing from space implies the use of gravity or electromagnetic interactions. Complementarily with the other papers to be presented in the session dedicated to remote sensing in oil and gas exploration, I will first discuss gravity surveys, as the altimetric on sea or those carried out with the satellites Grace and GOCE. Then, I will present lower frequency microwave imaging methodologies like those that will be carried out with the forthcoming missions of the European Space Agency named BIOMASS and SAOCOM Companion, in the bands P and L respectively (435 and 1275 MHz). The penetration in the vegetation and the upper layers of the terrain (if dry) will allow the study of morphology under vegetation and of the water table in desert areas. The use of microwave imaging radars at higher frequencies like C (5 GHz), and X (10 GHz) allows to evaluate not only ground morphology and soil rugosity, but also to detect oil spills on sea, and finally to measure accurately ground motions. These topics will be discussed in the presentations in this session where the optical and multispectral missions, all important to be used for oil prospections, will also be presented.
{"title":"Remote sensing from space for oil exploration","authors":"F. Rocca","doi":"10.1109/IGARSS.2015.7326415","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326415","url":null,"abstract":"Remote sensing from space implies the use of gravity or electromagnetic interactions. Complementarily with the other papers to be presented in the session dedicated to remote sensing in oil and gas exploration, I will first discuss gravity surveys, as the altimetric on sea or those carried out with the satellites Grace and GOCE. Then, I will present lower frequency microwave imaging methodologies like those that will be carried out with the forthcoming missions of the European Space Agency named BIOMASS and SAOCOM Companion, in the bands P and L respectively (435 and 1275 MHz). The penetration in the vegetation and the upper layers of the terrain (if dry) will allow the study of morphology under vegetation and of the water table in desert areas. The use of microwave imaging radars at higher frequencies like C (5 GHz), and X (10 GHz) allows to evaluate not only ground morphology and soil rugosity, but also to detect oil spills on sea, and finally to measure accurately ground motions. These topics will be discussed in the presentations in this session where the optical and multispectral missions, all important to be used for oil prospections, will also be presented.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129278952","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326262
Suqing Xu, Tingting Liu, Liqi Chen
Empirical relationships were derived from the underway measurements of sea surface pCO2, chlorophyll-a and sea surface temperature obtained from three Chinese Antarctica Research Expedition (CHINARE) cruises conducted in south Atlantic Ocean and south Indian Ocean. pCO2 in sea water was computed from remote sensing chlorophyll-a and SST by extrapolation method. Monthly spatiotemporal distribution of air-sea CO2 flux was calculated. Results showed that in general the carbon absorption was stronger in January than in December, and declined in February. The carbon absorption in Dec 1999 and 2004 was approximately equal, while in Dec 2007 it declined by 9% compared to Dec 1999. For January, the carbon absorption in 2005 declined by 8.4% compared to 2000. While for February 2008, due to the reforming of sea ice and decrease of chlorophyll, the carbon absorption decreased.
{"title":"Annually variation of air-sea carbon flux in the southern ocean from three CHINARE cruises by means of remote sensing technology","authors":"Suqing Xu, Tingting Liu, Liqi Chen","doi":"10.1109/IGARSS.2015.7326262","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326262","url":null,"abstract":"Empirical relationships were derived from the underway measurements of sea surface pCO2, chlorophyll-a and sea surface temperature obtained from three Chinese Antarctica Research Expedition (CHINARE) cruises conducted in south Atlantic Ocean and south Indian Ocean. pCO2 in sea water was computed from remote sensing chlorophyll-a and SST by extrapolation method. Monthly spatiotemporal distribution of air-sea CO2 flux was calculated. Results showed that in general the carbon absorption was stronger in January than in December, and declined in February. The carbon absorption in Dec 1999 and 2004 was approximately equal, while in Dec 2007 it declined by 9% compared to Dec 1999. For January, the carbon absorption in 2005 declined by 8.4% compared to 2000. While for February 2008, due to the reforming of sea ice and decrease of chlorophyll, the carbon absorption decreased.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129448361","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326520
Shruti Gupta, Dharmendra Singh, Keshava P. Singh, Sandeep Kumar
In the past SAR data has been proven as a great source for land cover characterization. For classification purpose many individual methods has been used, but single method are likely to undergo high variance or biasness depending on the base used for classification. Hence, in this paper random forest classification technique has been used for SAR data classification into different land cover classes (urban, water, vegetation and bare soil) which minimizes the diversity amongst the fragile classifiers and produce more accurate predictions. In this regard, an attempt has been made to fuse, four types of measures, namely texture features, SAR observable, statistical features and color features using random forest classifier for land cover classification. The results show that the resultant classified image has better accuracy in comparison to the individual method.
{"title":"An efficient use of random forest technique for SAR data classification","authors":"Shruti Gupta, Dharmendra Singh, Keshava P. Singh, Sandeep Kumar","doi":"10.1109/IGARSS.2015.7326520","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326520","url":null,"abstract":"In the past SAR data has been proven as a great source for land cover characterization. For classification purpose many individual methods has been used, but single method are likely to undergo high variance or biasness depending on the base used for classification. Hence, in this paper random forest classification technique has been used for SAR data classification into different land cover classes (urban, water, vegetation and bare soil) which minimizes the diversity amongst the fragile classifiers and produce more accurate predictions. In this regard, an attempt has been made to fuse, four types of measures, namely texture features, SAR observable, statistical features and color features using random forest classifier for land cover classification. The results show that the resultant classified image has better accuracy in comparison to the individual method.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"30 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483077","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 : 2015-07-26DOI: 10.1109/IGARSS.2015.7326997
T. Kubota, T. Masaki, T. Iguchi, Shinji Urita, N. Yoshida, H. Hanado, R. Oki
After the launch of the Global Precipitation Measurement (GPM) Core Observatory on February 2014, significant efforts have been made in order to reduce the sidelobe clutter contamination in Ku-band precipitation radar (KuPR) of Dual-frequency Precipitation Radar (DPR). This work describes a development of a software routine to reduce the sidelobe clutter in the KuPR Level-2 algorithm for the product version V03B. The routine estimate sidelobe echoes based on the correlation between the surface echo and sidelobe clutter, and subtract sidelobe estimates from the received power at corresponding range bins. Performances of the routine were evaluated with reference to high-sensitivity beams of the KaPR.
{"title":"Development of a routine to reduce sidelobe clutter in GPM/KUPR-L2 algorithm","authors":"T. Kubota, T. Masaki, T. Iguchi, Shinji Urita, N. Yoshida, H. Hanado, R. Oki","doi":"10.1109/IGARSS.2015.7326997","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326997","url":null,"abstract":"After the launch of the Global Precipitation Measurement (GPM) Core Observatory on February 2014, significant efforts have been made in order to reduce the sidelobe clutter contamination in Ku-band precipitation radar (KuPR) of Dual-frequency Precipitation Radar (DPR). This work describes a development of a software routine to reduce the sidelobe clutter in the KuPR Level-2 algorithm for the product version V03B. The routine estimate sidelobe echoes based on the correlation between the surface echo and sidelobe clutter, and subtract sidelobe estimates from the received power at corresponding range bins. Performances of the routine were evaluated with reference to high-sensitivity beams of the KaPR.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129900212","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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