IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium最新文献_第4页

Extreme Case of Spectral Band Difference Correction Between the Osiris-Rex-Navcam2 Dscovr-Epic Imagers Osiris-Rex-Navcam2 Dscovr-Epic成像仪波段差校正的极端情况

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8900496

B. Scarino, D. Doelling, C. Haney, R. Bhatt, A. Gopalan

{"title":"Extreme Case of Spectral Band Difference Correction Between the Osiris-Rex-Navcam2 Dscovr-Epic Imagers","authors":"B. Scarino, D. Doelling, C. Haney, R. Bhatt, A. Gopalan","doi":"10.1109/IGARSS.2019.8900496","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8900496","url":null,"abstract":"Earth-viewed images acquired during a recent asteroid-intercept mission present a unique opportunity for radiometric calibration of visible imagers onboard a space exploration probe. Measurements from the CERES-consistent DSCOVR-EPIC imager act as a reference in providing spatially, temporally, and angularly matched radiance values for deriving OSIRIS-REx-NavCam sensor calibration gains. The calibration is accomplished using an optimized all-sky tropical ocean ray-matching technique, which employs complex pixel remapping, navigation correction, and angular geometry consideration. Of critical consideration in this specific inter-calibration event is the extreme difference in spectral response function (SRF) width between the NavCam and EPIC imagers, which could cause a rather large bias. The NASA-LaRC SCIAMACHY-based online spectral band adjustment factor (SBAF) calculation tool provides an empirical solution to such potential spectral-difference-induced biases through a high-spectral-resolution hyperspectral convolution approach. The adjustments produced from this tool can effectively reduce the calibration gain bias of NavCam2 by nearly 6%, thereby adjusting the NavCam2 sensor to within 3.2% of its pre-launch calibration. These results highlight the capability of the SBAF tool to account for exceptionally disparate SRFs.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"10 1","pages":"8996-8998"},"PeriodicalIF":0.0,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77764677","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 Cost of Opportunity for Gapless Imaging 无间隙成像的机会成本

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8900078

M. Younis, F. Almeida, S. Huber, M. Zonno, M. Rodríguez-Cassola, S. Hensley, G. Krieger

{"title":"The Cost of Opportunity for Gapless Imaging","authors":"M. Younis, F. Almeida, S. Huber, M. Zonno, M. Rodríguez-Cassola, S. Hensley, G. Krieger","doi":"10.1109/IGARSS.2019.8900078","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8900078","url":null,"abstract":"Utilizing digital multi-channel technology, spacebome synthetic aperture radar instruments are capable of imaging swath widths of hundreds of kilometers at fine azimuth resolution. The main benefit follows through the extension of the trade space and the use of new digital beam-forming techniques facilitated through the multi-channel instrument architecture. This is truly a quantum leap as the performance of these systems will be orders of magnitude better than current in-orbit and state-of-the art systems. One of the basic restrictions applicable to spaceborne platforms hosting both the transmitter and receiver is the \"blinding\" of the receiver during the transmit time instances, which manifests itself through imaging gaps. One of the main challenges the instrument designers are faced with, is to circumvent these gaps, requiring the use of dedicated instrument operation modes. An alternative approach is multi-beam imaging, i.e. to allow the gaps in the single SAR acquisition, while using an appropriate mission design for filling the blind gaps. This paper explores the trade space options for high-resolution wide-swath SAR imaging. The comparison of multi-beam and gapless imaging from an instrument design and performance point of view is elaborated.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"98 1","pages":"8316-8319"},"PeriodicalIF":0.0,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76612018","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

On ICA Based ICTD Classification of Polsar Data 基于ICA的极地卫星数据ICTD分类研究

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8900558

Gabriel Vasile

引用次数: 1

Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods 具有邻接效应的高光谱海洋遥感:从基于光谱变率的建模到相关盲解混合方法的性能

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8898430

Y. Deville, Audrey Minghelli, X. Briottet, V. Serfaty, S. Brezini, Fatima Zohra Benhalouche, M. S. Karoui, M. Guillaume, X. Lenot, B. Lafrance, M. Chami, S. Jay

{"title":"Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods","authors":"Y. Deville, Audrey Minghelli, X. Briottet, V. Serfaty, S. Brezini, Fatima Zohra Benhalouche, M. S. Karoui, M. Guillaume, X. Lenot, B. Lafrance, M. Chami, S. Jay","doi":"10.1109/IGARSS.2019.8898430","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8898430","url":null,"abstract":"In a very recent paper, we introduced (i) a specific hyper-spectral mixing model for the sea bottom, based on a detailed physical analysis which includes the adjacency effect, and (ii) an associated unmixing method, which is not blind in the sense that it requires a prior estimation of various parameters of that mixing model. We here proceed much further, by first analytically showing that this model can be seen as a specific member of the general class of mixing models involving spectral variability. Therefore, we then process such data with the IP-NMF and UP-NMF blind unmixing methods that we recently proposed in other works to handle spectral variability. Such a variability especially occurs when sea depth significantly varies over the considered scene, and we show that IP-NMF and UP-NMF then yield significantly better pure spectra estimation than a classical method from the literature which was not designed to handle such a variability.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"2014 1","pages":"282-285"},"PeriodicalIF":0.0,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87760527","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

Three-Dimensional Urban Characterization Using Polarimetric SAR Correlation Tomographic Techniques and TSX/TDX Images 利用偏振SAR相关层析成像技术和TSX/TDX图像的三维城市特征

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8900289

Xing Peng, Yue Huang, L. Ferro-Famil, Jianjun Zhu, Yanan Du, Haiqiang Fu

{"title":"Three-Dimensional Urban Characterization Using Polarimetric SAR Correlation Tomographic Techniques and TSX/TDX Images","authors":"Xing Peng, Yue Huang, L. Ferro-Famil, Jianjun Zhu, Yanan Du, Haiqiang Fu","doi":"10.1109/IGARSS.2019.8900289","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8900289","url":null,"abstract":"Polarimetric synthetic aperture radar tomography (Pol-TomoSAR) allows to achieve a 3-D characterization over urban areas using multiple polarimetric acquisitions. However, using spaceborne datasets, such as TerraSAR-X, it is difficult to localize the distributed or uncorrelated scattering patterns along elevation due to the temporal decorrelation. In order to overcome this limitation, this paper proposes polarimetric correlation tomographic techniques based on Tandem-mode images. The key of this technique is to build a covariance matrix from the observed Tandem coherence pairs, and then apply conventional covariance-based tomographic techniques. This processing allows to extract both coherent and distributed scatterers. The resulting 3-D reconstruction is more refined and detailed, compared to the one derived from TerraSAR-X data. Seven TSX/TDX pairs in fully polarimetric mode over a small county in Yunnan province, China, are used to demonstrate the effectiveness of this technique for the characterization of urban environments.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"26 1","pages":"4924-4926"},"PeriodicalIF":0.0,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73081810","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

Verification of the SMAP Level-4 Soil Moisture Analysis Using Rainfall Observations in Australia 基于澳大利亚降雨观测的SMAP 4级土壤湿度分析的验证

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8898398

R. Reichle, Qing Liu, G. Lannoy, W. Crow, L. Jones, J. Kimball, R. Koster

{"title":"Verification of the SMAP Level-4 Soil Moisture Analysis Using Rainfall Observations in Australia","authors":"R. Reichle, Qing Liu, G. Lannoy, W. Crow, L. Jones, J. Kimball, R. Koster","doi":"10.1109/IGARSS.2019.8898398","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8898398","url":null,"abstract":"Global, 3-hourly, 9-km resolution soil moisture estimates are available with a mean latency of ~2.5 days from the NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L4_SM) product. These estimates are based on the assimilation of SMAP radiometer brightness temperature (Tb) observations into the NASA Catchment land surface model using a spatially distributed ensemble Kalman filter. Routine monitoring of the L4_SM system’s assimilation diagnostics revealed occasionally large observation-minus-forecast Tb differences across eastern central Australia that resulted in large analysis increments (or adjustments) of the model forecast soil moisture. Because this region lacks in situ soil moisture measurements, we developed an alternative approach to assess the veracity of the soil moisture analysis increments in the L4_SM system. Using regional gauge-based precipitation data, we demonstrate that the L4_SM soil moisture increments are correlated with errors in the L4_SM precipitation forcing, suggesting that the SMAP Tb observations contribute valuable information to the L4_SM soil moisture estimates.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"12 1","pages":"5363-5366"},"PeriodicalIF":0.0,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87455367","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

Hyperspectral Image Classification Using Tensor CP Decomposition 基于张量CP分解的高光谱图像分类

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8898346

Mohamad Jouni, M. Mura, P. Comon

引用次数: 12

Relations Between Landsat Spectral Reflectances and Land Surface Emissivity Over Bare Soils 裸地上陆地卫星光谱反射率与地表发射率的关系

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8899275

A. Olioso, X. Briottet, S. Fabre, F. Jacob, A. Michel, S. Nativel, V. Rivalland, J. Roujean

引用次数: 1

Color Adaptation and Cloud Removal between Satellite Images via Optimal Transport 基于最优传输的卫星图像间颜色适应与去云

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8900388

Zheng Zhang, Changmiao Hu, Ping Tang, T. Corpetti

引用次数: 0

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth 学习理解地面真实度较弱和不可靠的对地观测图像

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-28 DOI: 10.1109/IGARSS.2019.8898563

R. C. Daudt, Adrien Chan-Hon-Tong, B. L. Saux, Alexandre Boulch

引用次数: 3