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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
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
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.
从植物冠层发出的太阳诱导的叶绿素荧光(SIF)现在可以从太空中回收。此外,SIF现在也可以在固定的塔平台上进行常规测量。然而,在时间连续的塔测量和空间粗糙的卫星检索之间存在尺度差距,目前正在通过无人机技术弥补这一差距。无人机对SIF的检索可以帮助揭示异质植被类型在米尺度上跨空间发生的结构和物种成分依赖关系。此外,当飞行在足够的高度时,无人机可以用来模拟,并可能验证卫星检索的SIF。我们在北方森林上空飞行了一个双视场光谱仪系统,Piccolo doppio,目的是获取SIF。我们的飞行旨在评估由植被覆盖类型变化驱动的SIF的空间异质性,并通过在相对较高的高度飞行来模拟卫星像素。
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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
Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8517540
F. J. Ariza-López, J. Rodríguez-Avi, M. V. A. Fernández
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.
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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
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
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.
在城市植被的背景下,高光谱图像可以区分地表的生化特性。在本研究中,我们测试了几种降维来评估高光谱传感器表征树系的能力。目的是评估选择差异化和不相关的植被指数是否是一种有效的方法来降低高光谱图像的维数。将该方法与传统的MNF和ACP方法进行了比较,并对SVM分类器在4m和8m空间分辨率下进行的树木植被分类进行了评估。结果表明,MNF与SVM分类相结合是降低高光谱维数的较好方法。
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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
Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8517784
A. Ashraf, K. Priestley, J. Mahan
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.
地球观测仪器用于监测来自近地轨道的太阳辐射和长波辐射,在过去三十年中一直是研究地球辐射收支的重要组成部分。诸如此类的仪器要经过几个稳健的设计阶段,然后进行有力的地面校准活动,以在光谱、空间、时间和辐射学上设置其基线特征。从制造和校准这些仪器中获得的知识有助于技术进步,因为开发更精确仪器的需求增加了。为了了解仪器发射前的性能,NASA兰利研究中心与弗吉尼亚理工大学热辐射小组合作开发了扫描辐射计的第一性原理、动态电热数值模型,该模型可用于增强对轨道上类似地球辐射预算的仪器的解释。这篇文章总结了目前开发这种高保真端到端模型的工作状态,同时强调了它可能应用于地球辐射预算仪器。
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引用次数: 0
Designing Future Space Systems 设计未来空间系统
Pub Date : 2018-07-01 DOI: 10.1109/IGARSS.2018.8518166
O. Weck
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.
在地球科学和空间通信方面,我们正在从第一阶段(地球同步轨道或近地轨道上的单片卫星)过渡到第二阶段,由低地球同步轨道和近地轨道卫星的分布式集成组成。然而,这并不是游戏的结局。第三阶段将是直接在太空中制造和组装卫星,允许更大的孔径和空间分辨率的数量级提高。总结和量化了这种范式转变的主要挑战和机遇。
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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
Pub Date : 2018-01-09 DOI: 10.1109/IGARSS.2017.8127394
Jieying He, Shengwei Zhang, Zhenzhan Wang, Na Li
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.
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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
Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8517468
Eva Le Merle, D. Hauser, C. Tison, L. Aouf
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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
Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8517430
Wanlin Zhai, Jianhua Zhu, Chuntao Chen, He Wang, Xiaoqi Huang, Longhao Yan
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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
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
Pub Date : 2018-01-01 DOI: 10.1109/IGARSS.2018.8519373
Junfei Yu, Jingwen Li, Bing Sun, Yuming Jiang
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引用次数: 1
期刊
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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