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2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)最新文献

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Drone Measurements of Solar-Induced Chlorophyll Fluorescence Acquired with a Low-Weight DFOV Spectrometer System 低重量DFOV光谱仪系统太阳诱导叶绿素荧光的无人机测量
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8517474
J. Atherton, A. MacArthur, T. Hakala, K. Maseyk, Iain Robinson, Weiwei Liu, E. Honkavaara, A. Porcar-Castell
{"title":"Drone Measurements of Solar-Induced Chlorophyll Fluorescence Acquired with a Low-Weight DFOV Spectrometer System","authors":"J. Atherton, A. MacArthur, T. Hakala, K. Maseyk, Iain Robinson, Weiwei Liu, E. Honkavaara, A. Porcar-Castell","doi":"10.1109/IGARSS.2018.8517474","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8517474","url":null,"abstract":"Solar induced chlorophyll fluorescence (SIF) emitted from plant canopies is now retrievable from space. In addition, SIF is now also routinely measured from fixed tower platforms. However there is a scale gap between temporally continuous tower measurements and spatially coarse satellite retrievals that is now being bridged by drone technology. Drone retrievals of SIF can be used to help unravel the structural and species component dependencies that occur across space on the scale of meters in heterogeneous vegetation types. Also when flown at sufficient altitude, drones can be used to simulate, and potentially validate satellite retrievals of SIF. We flew a dual field of view spectrometer system, the Piccolo doppio, above a boreal forest with the aim of retrieving SIF. Our flights were designed to assess both spatial heterogeneity of SIF driven by changes in vegetation cover type and to simulate satellite pixels by flying at a relatively high altitude.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"24 1","pages":"8834-8836"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72799157","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
Complete Control of an Observed Confusion Matrix 一个观察到的混淆矩阵的完全控制
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8517540
F. J. Ariza-López, J. Rodríguez-Avi, M. V. A. Fernández
{"title":"Complete Control of an Observed Confusion Matrix","authors":"F. J. Ariza-López, J. Rodríguez-Avi, M. V. A. Fernández","doi":"10.1109/IGARSS.2018.8517540","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8517540","url":null,"abstract":"The error matrix has been adopted as a standard way to report on the thematic accuracy of any remotely sensed data product. A very usual way to perform the thematic accuracy analysis of an error matrix is by means of global indexes (e.g. overall accuracy, Kappa coefficient). But global indices do not allow for a category-wise control. This work proposes a new method for accuracy control of thematic classification based on an application of the chi-square goodness of fit test. By this way we can stablish our preferences of accuracy for each category but also we can consider some degree of misclassification between some categories. A practical example is provided for a 4×4 matrix (16 class combinations). In this example, a total of 13 quality levels (specifications) are imposed for certain class combinations. In this way, much more is controlled than by means of global indexes. In addition, the method allows to be more demanding or flexible in the quality levels of certain classes, according to convenience.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"96 1","pages":"1222-1225"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85303056","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
Evaluation of Dimensional Reduction Methods on Urban Vegegation Classification Performance Using Hyperspectral Data 基于高光谱数据的城市植被分类降维方法评价
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8517410
Charlotte Brabant, Emilien Alvarez-Vanhard, Gwénaël Morin, Kim Thanh Nguyen, Achour Laribi, T. Houet
{"title":"Evaluation of Dimensional Reduction Methods on Urban Vegegation Classification Performance Using Hyperspectral Data","authors":"Charlotte Brabant, Emilien Alvarez-Vanhard, Gwénaël Morin, Kim Thanh Nguyen, Achour Laribi, T. Houet","doi":"10.1109/IGARSS.2018.8517410","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8517410","url":null,"abstract":"In the context of urban vegetation, hyperspectral imagery allows to discriminate biochemical properties of land surfaces. In this study, we test several dimension reductions to evaluate capacities of hyperspectral sensors to characterize tree families. The goal is to evaluate if a selection of differentiated and uncorrelated vegetation indices is an efficient method to reduce the dimension of hyperspectral images. This method is compared with conventional MNF and ACP approaches, and assessed on tree vegetation classifications performed using SVM classifier on two datasets at 4m and 8m spatial resolution. Results show that MNF combined with SVM classification is the better method to reduce hyperspectral dimension.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"213 ","pages":"1636-1639"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91445985","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
First-Principle Dynamic Electro-Thermal Numerical Model of a Scanning Radiometer for Earth Radiation Budget Applications 用于地球辐射收支的扫描辐射计的第一性原理动态电热数值模型
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8517784
A. Ashraf, K. Priestley, J. Mahan
{"title":"First-Principle Dynamic Electro-Thermal Numerical Model of a Scanning Radiometer for Earth Radiation Budget Applications","authors":"A. Ashraf, K. Priestley, J. Mahan","doi":"10.1109/IGARSS.2018.8517784","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8517784","url":null,"abstract":"Earth Observing instruments that are used to monitor the incoming solar and outgoing longwave radiation from low-Earth orbit, have been a crucial part of studying the Earth's radiation budget during the past three decades. Instruments such as these go through several robust design phases followed by vigorous ground calibration campaigns to set their baseline characterization spectrally, spatially, temporally and radiometrically. The knowledge gained from building and calibrating these instruments has aided in technology advancements as the need for developing more accurate instruments has increased. In order to understand the instrument prelaunch performance, NASA Langley Research Center has partnered with the Thermal Radiation Group at Virginia Tech to develop a first-principle, dynamic electro-thermal, numerical model of a scanning radiometer that can be used to enhance the interpretation of an Earth radiation budget-like instrument on orbit. This contribution summarizes the current state of efforts to develop this high-fidelity end-to-end model and while highlighting its possible application to an Earth radiation budget instrument.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"40 1","pages":"9176-9179"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79790561","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
Designing Future Space Systems 设计未来空间系统
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8518166
O. Weck
{"title":"Designing Future Space Systems","authors":"O. Weck","doi":"10.1109/IGARSS.2018.8518166","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8518166","url":null,"abstract":"In Earth Science and Telecommunications from space we are now transitioning from phase 1 (single monolithic satellites in GEO or LEO) to phase 2 which consists of distributed ensembles of LEO and GEO satellites. This however is not the end game. The third phase will be the manufacturing and assembly of satellites directly in space, allowing significantly larger apertures and orders of magnitude improvement in spatial resolution. The key challenges and opportunities of this paradigm shift are summarized and quantified.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"6 2","pages":"267-269"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91504102","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
Assessment and validation of microwave humidity and temperature sounder onboard FY-3C FY-3C机载微波温湿度测深仪的评估与验证
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-01-09 DOI: 10.1109/IGARSS.2017.8127394
Jieying He, Shengwei Zhang, Zhenzhan Wang, Na Li
{"title":"Assessment and validation of microwave humidity and temperature sounder onboard FY-3C","authors":"Jieying He, Shengwei Zhang, Zhenzhan Wang, Na Li","doi":"10.1109/IGARSS.2017.8127394","DOIUrl":"https://doi.org/10.1109/IGARSS.2017.8127394","url":null,"abstract":"The paper introduces the design and development of MWHTS system and quantitatively evaluates the stability of its post-launch performance (3 years and 3 months). The on-orbit assessment of MWHTS demonstrates that the MWHTS onboard FY-3C has been improved compared to it on FY-3A and FY-3B. Furthermore, using the observing data from MTHTS shows that the instrument plays an important role in monitor extreme climate, especially for typhoon between June to Sept in 2016, including the procedure of generating, evolution, strengthen and die out, and also including the heavy rainfall caused by typhoon, which is compared against ground-based observations (gauge) and products blended by sensors onboard TRMM and GPM.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"2010 1","pages":"2089-2092"},"PeriodicalIF":0.0,"publicationDate":"2018-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73421353","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
Spectral properties of surface ocean waves from real-aperture radar observations 由实孔径雷达观测所得的表面海浪光谱特性
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8517468
Eva Le Merle, D. Hauser, C. Tison, L. Aouf
{"title":"Spectral properties of surface ocean waves from real-aperture radar observations","authors":"Eva Le Merle, D. Hauser, C. Tison, L. Aouf","doi":"10.1109/IGARSS.2018.8517468","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8517468","url":null,"abstract":"","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"201 1","pages":"5579-5582"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80174190","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 Validation of WET Zenith Delay of Ground GPS Stations Based on Jason-2 AMR 基于Jason-2 AMR的地面GPS站湿天顶延迟验证
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8517430
Wanlin Zhai, Jianhua Zhu, Chuntao Chen, He Wang, Xiaoqi Huang, Longhao Yan
{"title":"The Validation of WET Zenith Delay of Ground GPS Stations Based on Jason-2 AMR","authors":"Wanlin Zhai, Jianhua Zhu, Chuntao Chen, He Wang, Xiaoqi Huang, Longhao Yan","doi":"10.1109/IGARSS.2018.8517430","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8517430","url":null,"abstract":"","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"11 1","pages":"7628-7631"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74831915","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
Analysis of Marlene Radar Data: Focus on Doppler Spectra and Group Lines 马琳雷达数据分析:以多普勒光谱和群线为重点
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8518149
F. Platzer, M. Saillard, V. Fabbro
{"title":"Analysis of Marlene Radar Data: Focus on Doppler Spectra and Group Lines","authors":"F. Platzer, M. Saillard, V. Fabbro","doi":"10.1109/IGARSS.2018.8518149","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8518149","url":null,"abstract":"","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"64 1","pages":"1531-1534"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74027223","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
Barrage Jamming Detection and Classification Based on Convolutional Neural Network for Synthetic Aperture Radar 基于卷积神经网络的合成孔径雷达弹幕干扰检测与分类
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8519373
Junfei Yu, Jingwen Li, Bing Sun, Yuming Jiang
{"title":"Barrage Jamming Detection and Classification Based on Convolutional Neural Network for Synthetic Aperture Radar","authors":"Junfei Yu, Jingwen Li, Bing Sun, Yuming Jiang","doi":"10.1109/IGARSS.2018.8519373","DOIUrl":"https://doi.org/10.1109/IGARSS.2018.8519373","url":null,"abstract":"","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"37 1","pages":"4583-4586"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75112666","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
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