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

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Mapping overall taiyuan graben basin deformation with SBAS-InSAR technique 基于SBAS-InSAR技术的太原地堑盆地整体变形制图
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729743
Yuanyuan Liu, Chaoying Zhao, Qin Zhang, Chengsheng Yang, Jing Zhang
{"title":"Mapping overall taiyuan graben basin deformation with SBAS-InSAR technique","authors":"Yuanyuan Liu, Chaoying Zhao, Qin Zhang, Chengsheng Yang, Jing Zhang","doi":"10.1109/IGARSS.2016.7729743","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729743","url":null,"abstract":"Taiyuan graben basin has been suffering serious ground deformation due to the combined effects of groundwater pumping, ground fissures and faults. However, most ground deformation monitoring mainly focus on the single city, thus it is difficult to reveal the regional extent of the deformation. Fifty-five ALOS/PALSAR images acquired from three adjacent tracks from 2007 to 2011 are used to obtain annual deformation rate based on Small Baseline Subsets (SBAS-InSAR) technique. The standard deviations of deformation differences between two adjacent tracks are 3.7mm/a and 4.2mm/a, respectively. Large subsidence funnels mainly occur in the regions, where the groundwater pumping is intensive. The maximum subsidence is observed in Qingxu with the land subsidence rate up to 240mm/a, while regions with subsidence rates ranging from 50 to 90mm/a are detected in other locations. Meanwhile, significant deformation differences are retrieved in both sides of the faults, which could be explained as the faults-controlled deformation.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"94 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":"124748440","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
The MIRS GPM precipitation retrieval MIRS GPM降水反演
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729548
Shuyan Liu, C. Grassotti, Q. Liu
{"title":"The MIRS GPM precipitation retrieval","authors":"Shuyan Liu, C. Grassotti, Q. Liu","doi":"10.1109/IGARSS.2016.7729548","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729548","url":null,"abstract":"The Microwave Integrated Retrieval System (MIRS) is an operational system at National Oceanic and Atmospheric Administration (NOAA) providing satellite derived information since 2007. The system has been extended to retrieve variables based on the Global Precipitation Measurement Microwave Imager (GPM/GMI) instrument observed radiances. The inversion algorithm is a One-Dimensional Variational (1DVAR) scheme and is consistent across sensors and uses an iterative approach in which a solution is sought that best fits the observed satellite radiances, subject to other constraints. The Community Radiative Transfer Model (CRTM) is used as the forward and Jacobian operator to simulate the radiances at each iteration prior to fitting the measurements to within the noise level. This paper describes the MiRS retrieval algorithm, its extension to GPM/GMI, and validation against several reference data sets, including National Centers for Environmental Prediction (NCEP) Stage IV precipitation analyses, as well as with the European Centre for Medium-Range Weather Forecasts (ECMWF). Results indicate that MiRS can retrieve details of the atmospheric water vapor, hydrometeors and surface precipitation in an accurate and self-consistent manner.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"122 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":"124773030","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
Phase difference measurement of undersampled sinusoidal signals based on coherent accumulation and DFT 基于相干积累和DFT的欠采样正弦信号相位差测量
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730251
Zhihui Yuan, Lifu Chen, Haisheng Xu, Xuemin Xing
{"title":"Phase difference measurement of undersampled sinusoidal signals based on coherent accumulation and DFT","authors":"Zhihui Yuan, Lifu Chen, Haisheng Xu, Xuemin Xing","doi":"10.1109/IGARSS.2016.7730251","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730251","url":null,"abstract":"Phase difference measurement of sinusoidal signals can be used for phase calibration in spaceborne/airborne single-pass InSAR system. However, there are little discussions about the selection of the sampling frequency on the undersampling condition and corresponding measuring method when the signal's frequency is too high. In order to solve the problem aforementioned, this paper proposes a modified method based on Coherent Accumulation and DFT. Firstly, the appropriate under-sampling frequency is chosen to sample the two sinusoidal signals with the same frequency. Then, the sampled signals are coherent accumulated with the period of the baseband signal. Thirdly, the accumulated sampled signals are used to calculate the initial phases of the two sinusoidal signals by using the Discrete Fourier Transformation. Lastly, the phase difference is gotten from the initial phases. Experiment results prove the effectiveness of the method.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"50 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":"129473872","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
Enhanced processing of Sentinel-1 TOPSAR data Sentinel-1 TOPSAR数据的增强处理
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730309
D. Giudici, Simone Mancon, A. M. Guarnieri, Riccardo Piantanida, G. Prandi, Lisa Recchia, A. Recchia
{"title":"Enhanced processing of Sentinel-1 TOPSAR data","authors":"D. Giudici, Simone Mancon, A. M. Guarnieri, Riccardo Piantanida, G. Prandi, Lisa Recchia, A. Recchia","doi":"10.1109/IGARSS.2016.7730309","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730309","url":null,"abstract":"The paper introduces a couple of techniques for the enhanced processing of TOPSAR data. Both techniques are based on repeated passes of the sensor over the same area. The first technique combines two “de-synchronized” acquisitions, useless for interferometric purposes, to obtain an “enhanced resolution” image of the coherent scatterers in the scene. The second technique exploits the Permanent Scatterers imaged in the overlap between sub-swaths to perform a relative cross-calibration of the TOPSAR beams. Results on real TOPSAR Sentinel-1A data are shown.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"55 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":"129532398","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
Multiple kernel learning based on ideal kernel optimization for hyperspectral imagery classification 基于理想核优化的多核学习高光谱图像分类
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729626
Wei Gao, Yu Peng
{"title":"Multiple kernel learning based on ideal kernel optimization for hyperspectral imagery classification","authors":"Wei Gao, Yu Peng","doi":"10.1109/IGARSS.2016.7729626","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729626","url":null,"abstract":"In this paper, a novel multiple-kernel learning (MKL) algorithm is proposed for classification of hyperspectral images. The goal of classification is to acquire the class label of each pixel. The land covers is linearly separable in the kernel space spanned by class labels (ideal kernel). The ideal kernel is used as the optimization objective of our proposed MKL algorithm. Linear programming (LP) and signal sparse representation (SSR) are used to find the optimal weighting coefficients of basic kernels in our proposed based on ideal kernel MKL (BoIKMKL), thus leading to two variants of the proposed method, BoIKMKL-LP and BoIKMKL-SSR, respectively. Experiments are conducted on a real hyperspectral data set, and the experimental results show that the proposed algorithms, especially for BoIKMKL-LP, achieve the outstanding performance for hyperspectral image classification with few labeled samples when compared with several state-of-the-art algorithms. To a certain extent, BoIKMKL-SSR solves the problem of basic kernels redundancy with satisfactory classification accuracy.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"130222651","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
Antenna performance under GEO-property variations for real-time underground tomography 实时地下层析成像中geo属性变化下的天线性能
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730937
Taian Fan, T. Xia, Liang Cheng
{"title":"Antenna performance under GEO-property variations for real-time underground tomography","authors":"Taian Fan, T. Xia, Liang Cheng","doi":"10.1109/IGARSS.2016.7730937","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730937","url":null,"abstract":"Recent research has validated a proof-of-concept system for real-time underground tomography using wireless signal networks. Though models have been constructed to characterize wireless signal propagation through geo-media, there lacks a thorough investigation of antenna performance under geo-property variations. In this paper, we quantitatively show that soil condition variations affect antenna functional properties, including radiation efficiency, resonant frequencies, and internal reflection loss, etc. Our research indicates that adaptive sensing system design will be critical and beneficial to leverage real-time underground tomography performance under different geo-media conditions.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"130299104","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
Estimated post-flood effects through free, full and open satellite remote sensing data to support civil protection 通过免费、全面和开放的卫星遥感数据估计灾后影响，以支持民防
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730098
C. Angelino, L. Cicala, N. Fiscante, M. Focareta
{"title":"Estimated post-flood effects through free, full and open satellite remote sensing data to support civil protection","authors":"C. Angelino, L. Cicala, N. Fiscante, M. Focareta","doi":"10.1109/IGARSS.2016.7730098","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730098","url":null,"abstract":"A flood is a relatively high flow of water that overtops the natural and artificial banks in any of the reaches of a stream. When banks are overtopped, water spreads over flood plain and generally causes problem for inhabitants, crops and vegetation. During extreme flood events, it is important to determine quickly the extent of flooding and land use under water. Flood maps can be applied to develop comprehensive relief effort immediately after flooding. There are varieties of issues and uncertainties involved in flood mapping. Remotely sensed data can be used to develop flood map in an efficient and effective way. In this paper different techniques of flood mapping using active and passive remote sensing systems are applied, so that a final flood inundation map has been prepared by combining all data within a Geographical Information System (GIS) environment. The flood inundation maps can be further used for quick identification of areas of potential flood hazard to minimize the flood losses.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"130381597","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
The triangular method for evapotranspiration estimation from landsat data in arid and semi-arid regions 干旱半干旱区陆地卫星资料蒸散发估算的三角方法
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729051
Lijuan Wang, N. Guo, S. Sha, D. Hu, Wei Wang
{"title":"The triangular method for evapotranspiration estimation from landsat data in arid and semi-arid regions","authors":"Lijuan Wang, N. Guo, S. Sha, D. Hu, Wei Wang","doi":"10.1109/IGARSS.2016.7729051","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729051","url":null,"abstract":"The commonly applied triangular method was used to estimate regional evapotranspiration (ET). Based on the parameters of land surface, the applicability of NDVI-land surface temperature (NDVI-LST) and NDVI-albedo triangular methods were validated using the landsat7 data and the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) observed data. Considering the affecting of soil moisture and vegetation water content on ET, a modified triangular method was developed using the Perpendicular Drought Index (PDI). Compared the estimated ET to the observed value, the result showed that LSTs retrieved by single channel method were closed to the measured data, and the correlation coefficient(R) was 0.8, the root mean square error (RMSE) was 5.72K and the mean absolute percent error (MAPE) was about 14.48%. The correlation coefficient between the PDI, soil moisture and vegetation water content was 0.77, so the PDI could respond the moisture condition of the surface well and could be used to estimate the ET. The ET estimated by NDVI-LST and NDVI-albedo triangular methods were in good agreement with those measured values and the correlation coefficients were 0.85 and 0.86, respectively. The NDVI and PDI showed a triangle relationship obviously, and the accuracy of estimated ET from NDVI-PDI triangular method had improved greatly, the RMSE reduced to 91.72 W·m-2 and the MAPE was 24.84%.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"130512730","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
Spatio-temporal distribution of atmosphere pollutants during winter heating period over su-lu-yu-wan provinces 江苏省冬季采暖期大气污染物的时空分布
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730099
Yang Bai, Lixin Wu, Yuan Zhou, K. Qin
{"title":"Spatio-temporal distribution of atmosphere pollutants during winter heating period over su-lu-yu-wan provinces","authors":"Yang Bai, Lixin Wu, Yuan Zhou, K. Qin","doi":"10.1109/IGARSS.2016.7730099","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730099","url":null,"abstract":"With rapid developments of China's economy and industrial modernization, the increasing consumption of coal, oil and other fossil fuels have led to rapidly growing of abnormal aerosols, causing frequently regional haze episodes and having a significant negative impact on human health [1, 2]. As we all know, coal is the main fuel used for the government advocated centralized heating system throughout our northern cities, which is driven by large-capacity boilers in heating stations and power plants [3-5].","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"130556004","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
Optimal data processing solutions for future bistatic SAR missions 未来双基地SAR任务的最佳数据处理解决方案
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730779
D. D'Aria, Riccardo Piantanida, A. Valentino, Simone Mancon
{"title":"Optimal data processing solutions for future bistatic SAR missions","authors":"D. D'Aria, Riccardo Piantanida, A. Valentino, Simone Mancon","doi":"10.1109/IGARSS.2016.7730779","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730779","url":null,"abstract":"The increasing interest in bistatic SAR missions and in the new opportunities they can create has led to the development during time of a new set of processing solutions, as wide as the possible configurations assumed by the involved satellites and the corresponding applications.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"89 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":"126993257","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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