IGARSS 2019 - 2019 IEEE International Geoscience And . - Proceedings
IGARSS 2019 – 2019 IEEEInternational Geoscience andRemote Sensing SymposiumYokohama, Japan28 July – 2 August 2019Pages 1-703IEEE Catalog Number:ISBN:1/14CFP19IGA-POD978-1-5386-9155-7
Copyright 2019 by the Institute of Electrical and Electronics Engineers, Inc.All Rights ReservedCopyright and Reprint Permissions: Abstracting is permitted with credit to the source.Libraries are permitted to photocopy beyond the limit of U.S. copyright law for privateuse of patrons those articles in this volume that carry a code at the bottom of the firstpage, provided the per-copy fee indicated in the code is paid through CopyrightClearance Center, 222 Rosewood Drive, Danvers, MA 01923.For other copying, reprint or republication permission, write to IEEE CopyrightsManager, IEEE Service Center, 445 Hoes Lane, Piscataway, NJ 08854. All rightsreserved.*** This is a print representation of what appears in the IEEE DigitalLibrary. Some format issues inherent in the e-media version may alsoappear in this print version.IEEE Catalog Number:ISBN (Print-On-Demand):ISBN 386-9154-02153-6996Additional Copies of This Publication Are Available From:Curran Associates, Inc57 Morehouse LaneRed Hook, NY 12571 USAPhone:(845) 758-0400Fax:(845) edings.com
TABLE OF CONTENTSSCALE-TRANSFERRABLE PYRAMID NETWORK FOR MULTI-SCALE SHIP DETECTION IN SARIMAGES . 1Nengyuan Liu ; Zongyong Cui ; Zongjie Cao ; Yiming Pi ; Hai LanMULTISCALE SHIP DETECTION BASED ON DENSE ATTENTION PYRAMID NETWORK IN SARIMAGES . 5Qi Li ; Rui Min ; Zongyong Cui ; Yiming Pi ; Zhengwu XuWEIGHT OPTIMIZATION FOR MULTI-TASK SPARSE REPRESENTATION IN SAR IMAGE TARGETRECOGNITION. 9Zhi Zhou ; Zongjie Cao ; Yalan Zhang ; Yiming Pi ; Nengyuan LiuA HIERARCHICAL SALIENCY BASED TARGET DETECTION METHOD FOR HIGH-RESOLUTION SARIMAGES . 13Lan Du ; Lu Li ; Zhaocheng WangSAR TARGET DETECTION BASED ON PSIFT FEATURE CLUSTERING . 17Lina Zeng ; Deyun Zhou ; Qian Pan ; Chao Lu ; Ying ZhouBITEMPORAL FULLY POLARIMETRIC SAR IMAGES CHANGE DETECTION VIA NEARESTREGULARIZED JOINT SPARSE AND TRANSFER DICTIONARY LEARNING. 21Yao Tan ; Jichao Li ; Peiyang Zhang ; Shuiping Gou ; Peng Wang ; Yuanbo Chen ; Jia-Wei Chen ; Changyan SunGEOMETRICALLY ACCURATE CHANGE MAPPING FROM VHR SAR IMAGES. 25Andrea Garzelli ; Claudia ZoppettiMULTIRESOLUTION AND MULTIMODALITY SAR DATA FUSION BASED ON MARKOV ANDCONDITIONAL RANDOM FIELDS FOR UNSUPERVISED CHANGE DETECTION. 29David Solarna ; Gabriele Moser ; Sebastiano B. SerpicoSUBSIDENCE MONITORING WITH INSAR TECHNIQUES AIDED BY LASER SCANNING DATA ANDTOPOGRAPHIC MAP: A CASE STUDY OF ROTTERDAM RECLAIMED AREAS. 33Ling ChangSTABILITY IN SAR CHANGE DETECTION RESULTS USING BIVARIATE RAYLEIGH DISTRIBUTIONFOR STATISTICAL HYPOTHESIS TEST . 37Viet T. Vu ; Mats I. Pettersson ; Natanael R. GomesEXPERIMENT ON THE IMPACT OF SPATIAL RESOLUTION ON BUILDING EXTRACTION ACCURACY. 41Jean-Samuel Proulx-Bourque ; Lucie Mathieu ; Charles Papasodoro ; Daniel Pilon ; Nouri Sabo ; Mathieu Turgeon-PelchatAUTOMATIC VECTORIZATION EXTRACTION OF FLAT-ROOFED HOUSES USING HIGHRESOLUTION REMOTE SENSING IMAGES . 44Guorui Ma ; Qinjie He ; Xiaodan Shi ; Xiaojie FanBUILDING EXTRACTION FROM REMOTE SENSING IMAGE WITH PRIVILEGED INFORMATION . 48Xue Li ; Bo Du ; Liangpei ZhangIMPROVED DEEP FULLY CONVOLUTIONAL NETWORK WITH SUPERPIXEL-BASED CONDITIONALRANDOM FIELDS FOR BUILDING EXTRACTION. 52Wenqing Feng ; Haigang Sui ; Li Hua ; Chuan XuASPHALT POTHOLE DETECTION IN UAV IMAGES USING CONVOLUTIONAL NEURAL NETWORKS . 56Yuri V. Furusho Becker ; Henrique Lopes Siqueira ; Edson Takashi Matsubara ; Wesley Nunes Gonçalves ; Jose Marcato MarcatoAGGREGATED PRIMARY DETECTORS FOR GENERIC CHANGE DETECTION IN SATELLITE IMAGES. 59Vincent Vidal ; Matthieu Limbert ; Tugdual Ceillier ; Lionel MoisanSURF-BASED REGISTRATION FOR HYPERSPECTRAL IMAGES . 63Álvaro Ordóñez ; Dora B. Heras ; Francisco ArgüelloATTENTION-BASED DOMAIN ADAPTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION. 67Robiul Hossain Md. Rafi ; Bo Tang ; Qian Du ; Nicolas H. YounanAN ADAPTABLE APPROACH FOR PIXEL-BASED COMPOSITING AND CROP TYPE/TREE SPECIESMAPPING . 71Sebastian Preidl ; Maximilian Lange ; Daniel DoktorSEMI-SUPERVISED CHANGE DETECTION BASED ON GRAPHS WITH GENERATIVE ADVERSARIALNETWORKS. 74Junfu Liu ; Keming Chen ; Guangluan Xu ; Hao Li ; Menglong Yan ; Wenhui Diao ; Xian SunTRANSFER LEARNING WITH SAS-IMAGE CONVOLUTIONAL NEURAL NETWORKS FOR IMPROVEDUNDERWATER TARGET CLASSIFICATION . 78David P. WilliamsRECOGNIZING SUBMERGED MATERIALS WITH FLUORESCENCE LIDAR WITHOUT KNOWLEDGEOF ENVIRONMENTAL CONDITIONS . 82Stefania Matteoli ; Giovanni Corsini ; Marco DianiDEEP-LEARNING FOR LOD1 BUILDING RECONSTRUCTION FROM AIRBORNE LIDAR DATA . 86Tee-Ann TeoDEVELOPMENT OF HIGH-PERFORMANCE DETECTOR TECHNOLOGY FOR UV AND IRAPPLICATIONS. 90Ashok K. Sood ; John W. Zeller ; Parminder Ghuman ; Sachidananda Babu ; Nibir K. Dhar
AN AUTOMATIC TECHNIQUE FOR DECIDUOUS TREES DETECTION IN HIGH DENSITY LIDAR DATABASED ON DELAUNAY TRIANGULATION . 94Daniele Marinelli ; Claudia Paris ; Lorenzo BruzzoneOCEAN SURFACE CURRENT MEASUREMENT WITH AN INTERFEROMETRIC UHF SAR . 98Mark Sletten ; Steven Menk ; Jakov ToporkovTHE PERFORMANCE ANALYSIS OF DUAL-ANTENNA SQUINT INTERFEROMETRIC SAR OCEANCURRENT MEASUREMENT MODE. 102Yin Jianfeng ; Zhang Qingjun ; Liu Jie ; Liu Jiuli ; Cai Yawen ; Kong Weiya ; Zhao Bingji ; Zhang Chi ; Li ZhenBISTATIC SAR IMAGE FORMATION AND INTERFEROMETRIC PROCESSING FOR THE STEREOIDEARTH EXPLORER 10 CANDIDATE MISSION. 106Pau Prats-Iraola ; Muriel Pinheiro ; Marc Rodriguez-Cassola ; Rolf Scheiber ; Paco Lopez-DekkerON AZIMUTH AMBIGUITIES SUPPRESSION FOR SHORT-BASELINE ALONG-TRACKINTERFEROMETRY: THE STEREOID CASE. 110Paco López-Dekker ; Yuanhao Li ; Lorenzo Iannini ; Pau Prats-Iraola ; Marc Rodríguez-CassolaMULTISCALE CHANGE ANALYSIS FOR SAR IMAGE TIME SERIES: APPLICATION TO INUNDATIONDETECTION . 118Thu Trang Lê ; Jean-Luc Froger ; Alexis HrysiewiczMULTIMODAL APPROACH FOR FLOOD MONITORING FROM TIME-SERIES SATELLITE IMAGESCOMBINING ATTRIBUTE FILTERS AND KOHONEN MAP. 122Moslem Ouled Sghaier ; Samuel Foucher ; Tom LandryATTRIBUTE PROFILES FOR SATELLITE IMAGE TIME SERIES. 126Caglayan Tuna ; François Merciol ; Sébastien LefèvreAGING BRICK KILNS IN THE ASIAN BRICK BELT USING A LONG TIME SERIES OF LANDSATSENSOR DATA TO INFORM THE STUDY OF MODERN DAY SLAVERY. 130Xiaodong Li ; Giles M. Foody ; Doreen S. Boyd ; Feng Ling3-D STRUCTURE-FROM-MOTION RETRIEVAL BASED ON CIRCULAR VIDEOSAR SEQUENCES. 134Ying Zhang ; Daiyin Zhu ; Yingying KongRETRIEVAL OF MULTIPLE LAND SURFACE AND ATMOSPHERIC PARAMETERS FROM THEHIMAWARI-8 AHI TOP-OF-ATMOSPHERE OBSERVATIONS . 138Han Ma ; Shunlin LiangA PARAMETERIZED DIRECTIONAL THERMAL RADIANCE MODEL FOR ROW CROPS . 142Kun Li ; Yong-Gang Qian ; Ning Wang ; Ling-Ling Ma ; Shi Qiu ; Chuan-Rong Li ; Ling-Li Tang ; Yong-Guang ZhaoMAIZE LEAF AREA INDEX RETRIEVAL USING FY-3B SATELLITE DATA BY LONG SHORT-TERMMEMORY MODEL. 146Mao Zhang ; Xia Zhang ; Changping Huang ; Senlin Tang ; Wenchao QiAN OVERVIEW OF LAND SURFACE TEMPERATURE RETRIEVAL FROM CHINESE GAOFEN-5THERMAL INFRARED IMAGES. 150Huazhong RenA COMBINED ALGORITHM FOR SOIL AND VEGETATION TEMPERATURES WITH SLSTR DUALANGLE DATA. 154Zunjian Bian ; Biao Cao ; Hua Li ; Yongming Du ; Qing Xiao ; Qinhuo LiuGEOSEG: A COMPUTER VISION PACKAGE FOR AUTOMATIC BUILDING SEGMENTATION ANDOUTLINE EXTRACTION . 158Guangming Wu ; Zhiling Guo ; Xiaowei Shao ; Ryosuke ShibasakiMULTI-SCALE OBJECT DETECTION IN SATELLITE IMAGERY BASED ON YOLT . 162Wentong Li ; Wanyi Li ; Feng Yang ; Peng WangMULTICLASS VESSEL DETECTION FROM HIGH RESOLUTION OPTICAL SATELLITE IMAGES BASEDON DEEP NEURAL NETWORKS. 166Sergey Voinov ; Frank Heymann ; Ralf Bill ; Egbert SchwarzEVALUATION OF CLOUD TYPE CLASSIFICATION BASED ON SPLIT WINDOW ALGORITHM USINGHIMAWARI-8 SATELLITE DATA. 170Babag Purbantoro ; Jamrud Aminuddin ; Naohiro Manago ; Koichi Toyoshima ; Nofel Lagrosas ; Josaphat Tetuko Sri Sumantyo ;Hiroaki KuzeSEA ICE LEADS DETECTED FROM SENTINEL-1 SAR IMAGES . 174Dmitrii Murashkin ; Gunnar SpreenMULTITEMPORAL SAR AND MAP FUSION FOR EXTRACTING PERSITENT SCATTERERS ON ROADS . 182Taichi Tanaka ; Daisuke Ikefuji ; Osamu HoshuyamaMITIGATION OF POSITIONING BIAS IN PSI POINT CLOUDS . 186Sina Montazeri ; Fernando Rodríguez González ; Xiao Xiang ZhuNON-FUZZY INTERFEROMETRIC PHASE ESTIMATION METHOD BASED ON DEEP LEARNING . 194Shuo Li ; Huaping Xu ; Shuai Gao ; Chunsheng LiSCENE CHANGE DETECTION VIA DEEP CONVOLUTION CANONICAL CORRELATION ANALYSISNEURAL NETWORK. 198Yong Wang ; Bo Du ; Lixiang Ru ; Chen Wu ; Hui LuoA DISTRIBUTED AND PARALLEL METHOD OF CHANGE DETECTION IN REMOTE SENSING IMAGEBASED ON FULLY CONNECTED CONDITIONAL RANDOM FIELD . 202Tiantian Zhou ; Zebin Wu ; Jun Liu ; Jin Sun ; Yi Zhang ; Jiandong Yang ; Hongyi Liu ; Zhihui WeiHOMOGENEOUS TRANSFORMATION BASED ON DEEP-LEVEL FEATURES IN HETEROGENEOUSREMOTE SENSING IMAGES . 206Xiao Jiang ; Gang Li ; Yu Liu ; Xiao-Ping Zhang ; You He
CONVOLUTIONAL LONG SHORT-TERM MEMORY NETWORK FOR MULTITEMPORAL CLOUDDETECTION OVER LANDMARKS . 210Gonzalo Mateo-García ; Jose E. Adsuara ; Adrián Pérez-Suay ; Luis Gómez-ChovaDETECTING URBAN CHANGES WITH RECURRENT NEURAL NETWORKS FROM MULTITEMPORALSENTINEL-2 DATA . 214Maria Papadomanolaki ; Sagar Verma ; Maria Vakalopoulou ; Siddharth Gupta ; Konstantinos KarantzalosOPTICAL IMAGE GAP FILLING USING DEEP CONVOLUTIONAL AUTOENCODER FROM OPTICALAND RADAR IMAGES. 218R. Cresson ; D. Ienco ; R. Gaetano ; K. Ose ; D. Ho Tong MinhHYPERSPECTRAL IMAGE DENOISING VIA CONVEX LOW-FIBERED-RANK REGULARIZATION . 222Yu-Bang Zheng ; Ting-Zhu Huang ; Xi-Le Zhao ; Tai-Xiang Jiang ; Jie HuangREMOTE SENSING IMAGE MATCHING USING TPS TRANSFORMATION AND LOCAL GEOMETRICALCONSTRAINT . 226Jun Chen ; Huimin Liu ; Linbo Luo ; Wenping Gong ; Xuejiao LiSPECTRAL-SPATIAL JOINT NOISE ESTIMATION FOR HYPERSPECTRAL IMAGES . 230Minchao Ye ; Hong Chen ; Chenxi Ji ; Ling Lei ; Yuntao QianWEIGHTED GROUP SPARSITY REGULARIZED LOW-RANK TENSOR DECOMPOSITION FORHYPERSPECTRAL IMAGE RESTORATION. 234Yong Chen ; Wei He ; Naoto Yokoya ; Ting-Zhu HuangMERGENET: FEATURE-MERGED NETWORK FOR MULTI-SCALE OBJECT DETECTION IN REMOTESENSING IMAGES . 238Peijin Wang ; Xian Sun ; Wenhui Diao ; Kun FuMULTI-SCALE SHIPS DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGE VIA SALIENCYBASED REGION CONVOLUTIONAL NEURAL NETWORK . 246Zezhong Li ; Yanan You ; Fang LiuDEEP LEARNING MODEL FOR TARGET DETECTION IN REMOTE SENSING IMAGES FUSINGMULTILEVEL FEATURES . 250Xili Wang ; Yue Ban ; Huimin Guo ; Ling HongEVALUATING DEEP CONTEXTUAL DESCRIPTION OF SUPERPIXELS FOR DETECTION IN AERIALIMAGES . 254Eduardo A. Tavares ; Ricardo Da S. Torres ; Jefersson A. Dos SantosEXPLOITING SPARSITY FOR PHASE UNWRAPPING . 258Rick Chartrand ; Matthew T. Calef ; Michael S. WarrenGAP-FILLING BASED ON ITERATIVE EOF ANALYSIS OF TEMPORAL COVARIANCE : APPLICATIONTO INSAR DISPLACEMENT TIME SERIES . 262A. Hippert-Ferrer ; Y. Yan ; P. BolonA GENETIC ALGORITHM FOR PHASE UNWRAPPING ERRORS CORRECTION IN THE SBAS-DINSARAPPROACH. 266C. De Luca ; G. Onorato ; F. Casu ; R. Lanari ; M. ManuntaEMI: EFFICIENT TEMPORAL PHASE ESTIMATION AND ITS IMPACT ON HIGH-PRECISION INSARTIME SERIES ANALYSIS. 270Homa Ansari ; Francesco De Zan ; Giorgio Gomba ; Richard BamlerCAR-BORNE AND UAV-BORNE MOBILE MAPPING OF SURFACE DISPLACEMENTS WITH ACOMPACT REPEAT-PASS INTERFEROMETRIC SAR SYSTEM AT L-BAND . 274Othmar Frey ; Charles L. Werner ; Roberto CoscioneLOCAL SPARSE REPRESENTATION BASED SPATIAL PREPROCESSING FOR ENDMEMBEREXTRACTION . 278Ge Zhang ; Shaohui Mei ; Jin Tian ; Yan Feng ; Qian DuHYPERSPECTRAL OCEANIC REMOTE SENSING WITH ADJACENCY EFFECTS: FROM SPECTRALVARIABILITY-BASED MODELING TO PERFORMANCE OF ASSOCIATED BLIND UNMIXINGMETHODS. 282Y. Deville ; S. E. Brezini ; F. Z. Benhalouche ; M. S. Karoui ; M. Guillaume ; X. Lenot ; B. Lafrance ; M. Chami ; S. Jay ; A.Minghelli ; X. Briottet ; V. SerfatyA SPECTRAL MIXING MODEL ACCOUNTING FOR MULTIPLE REFLECTIONS AND SHADOW . 286Vera Andrejchenko ; Zohreh Zahiri ; Rob Heylen ; Paul ScheundersWEIGHTED BLIND LQ HYPERSPECTRAL UNMIXING . 290Jakob Sigurdsson ; Magnus O. Ulfarsson ; Johannes R. SveinssonGAUSSIAN MIXTURE MODEL FOR HYPERSPECTRAL UNMIXING WITH LOW-RANKREPRESENTATION . 294Qiwen Jin ; Yong Ma ; Xiaoguang Mei ; Xiaobing Dai ; Hao Li ; Fan Fan ; Jun HuangDOWNSCALING OCEAN SURFACE NET RADIATION AT GLOBAL SCALES WITH RANDOM FOREST. 298Jianglei Xu ; Bo JiangMAPPING SUBMERGED AQUATIC VEGETATION IN SHALLOW WATER OF ARABIAN GULF USINGWATER SPECTRAL INDICES, FIELD OBSERVATIONS AND LANDSAT-OLI DATA . 302A. Alkhatlan ; A. Bannari ; T. S. Ali ; A. Abahussain ; N. HameidSPECTRAL MONITORING OF ALGAL BLOOMS IN AN EUTROPHIC LAKE USING SENTINEL-2 . 306German Alba ; Ferral Anabella ; Scavuzzo Marcelo ; Guachalla Alarcon Andrea ; Tropper Ivana ; Ibañez Guillermo ; TorrusioSandra ; Shimoni Michal
SIMULTANEOUS ESTIMATION OF MULTIPLE SHIP PARAMETERS FROM SAR IMAGES USING AFORKED CONVOLUTIONAL NEURAL NETWORK . 310J. Imber ; B. Tings ; D. VelottoA NOVEL IONOSPHERIC TEC ESTIMATION METHOD BASED ON L-BAND ISAR SIGNAL PROCESSING . 314Jixiang Fu ; Dan Xu ; Mengdao XingSPATIAL ENHANCED-SSD FOR MULTICLASS OBJECT DETECTION IN REMOTE SENSING IMAGES. 318Guanqun Wang ; Yin Zhuang ; Zhiru Wang ; He Chen ; Hao Shi ; Liang ChenAIRCRAFT DETECTION FROM REMOTE SENSING IMAGE BASED ON A WEAKLY SUPERVISEDATTENTION MODEL . 322Jinsheng Ji ; Tao Zhang ; Zhen Yang ; Linfeng Jiang ; Weilin Zhong ; Huilin XiongOBJECT DETECTION IN VHR IMAGE USING TRANSFER LEARNING WITH DEFORMABLECONVOLUTION . 326Zeyu Cao ; Xiaorun Li ; Liaoying ZhaoMULTI-SCALE FEATURE FUSION NETWORK FOR OBJECT DETECTION IN VHR OPTICAL REMOTESENSING IMAGES . 330Wenhua Zhang ; Licheng Jiao ; Xu Liu ; Jia LiuPOLARIMETRIC HRRP TARGET RECOGNITION BASED ON CONVLSTM . 334Wei Chen ; Liang Zhang ; Ying Xi ; Yanhua Wang ; Yang LiTRAJECTORY UNCERTAINTY IN REPEAT-PASS SAR INTERFEROMETRY: A CASE STUDY . 338Roberto Coscione ; Irena Hajnsek ; Othmar FreyA COMPARISON OF TROPOSPHERIC PATH DELAYS ESTIMATED IN PSI PROCESSING AGAINSTDELAYS DERIVED FROM A GNSS NETWORK IN THE SWISS ALPS . 342Muhammad A. Siddique ; Karina Wilgan ; Tazio Strozzi ; Alain Geiger ; Irena Hajnsek ; Othmar FreyESTIMATION OF DISPLACEMENT VECTOR BY LINEAR MIMO ARRAYS WITH REDUCED SYSTEMERROR INFLUENCES. 346Weike Feng ; Giovanni Nico ; Jiyu Guo ; Suyun Wang ; Motoyuki SatoANSWERS TO QUESTIONS ABOUT USER-FRIENDLY INSAR DATA PRODUCTS . 354Howard A. ZebkerCONVOLUTIONAL AUTOENCODER FOR SPATIAL-SPECTRAL HYPERSPECTRAL UNMIXING. 357Burkni Palsson ; Magnus O. Ulfarsson ; Johannes R. SveinssonA SEMI-SUPERVISED METHOD FOR NONLINEAR HYPERSPECTRAL UNMIXING . 361Bikram Koirala ; Paul ScheundersHYPERSPECTRAL UNMIXING VIA SIMULTANEOUS DICTIONARY REFINING AND ENHANCEDSPARSE REGRESSION . 369Tianqi Yang ; Yalei Gao ; Zhizhong Zheng ; Liang XiaoWU-NET: A WEAKLY-SUPERVISED UNMIXING NETWORK FOR REMOTELY SENSEDHYPERSPECTRAL IMAGERY. 373Danfeng Hong ; Jocelyn Chanussot ; Naoto Yokoya ; Uta Heiden ; Wieke Heldens ; Xiao Xiang ZhuMOVING TARGET VELOCITY ESTIMATION USING MULTI-AZIMUTH ANGLE MODE . 377Yamin Wang ; Jie Chen ; Wei Yang ; Zhirong Men ; Rui Zhang ; Xiaokun SunWRAPPED INTERFEROMETRIC PHASE REGISTRATION BASED POSITIONING METHOD . 381Yuming Jiang ; Jingwen Li ; Bing Sun ; Ran Li ; Zhimin HeSINGLE RFI LOCALIZATION BASED ON CONJUGATE CROSS-CORRELATION OF DUAL-CHANNELSAR SIGNALS. 385Junfei Yu ; Jingwen Li ; Bing Sun ; Jie Chen ; Chunsheng Li ; Wei Li ; Liying XuASSESSING THE SHARPNESS OF SATELLITE IMAGES: STUDY OF THE PLANETSCOPECONSTELLATION . 389Jérémy Anger ; Carlo De Franchis ; Gabriele FaccioloHYPERSPECTRAL IMAGE RESTORATION USING NONCONVEX HYBRID REGULARIZATION . 393Yue Hu ; Xiaodi LiDEEP FEATURE EXTRACTION BASED ON SIAMESE NETWORK AND AUTO-ENCODER FORHYPERSPECTRAL IMAGE CLASSIFICATION. 397Jiajia Miao ; Bin Wang ; Xiaofeng Wu ; Liming Zhang ; Bo Hu ; Jian Qiu ZhangDECISION FUSION BASED ON JOINT LOW RANK AND SPARSE COMPONENT FOR HYPERSPECTRALIMAGE CLASSIFICATION . 401Feiyan Li ; Wei Li ; Hongtao Huo ; Qiong RanROLLING GUIDANCE RECURSIVE FILTERING-BASED MULTIPLE KERNEL LEARNING FORHYPERSPECTRAL IMAGE CLASSIFICATION. 405Binge Cui ; Liwei Zhong ; Xiujuan TianACCESSIBILITY-FREE ACTIVE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION . 409Chenying Liu ; Jun Li ; Mercedes E. Paoletti ; Juan M. Haut ; Antonio Plaza ; Qian ShiSPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON A JOINTATTENTION NETWORK. 413Erting Pan ; Yong Ma ; Xiaoguang Mei ; Xiaobing Dai ; Fan Fan ; Xin Tian ; Jiayi MaEVALUATION OF ENSEMBLE COHERENCE AS A MEASURE FOR STOCHASTIC AND SYSTEMATICPHASE INCONSISTENCIES. 417Homa Ansari ; Fernando Rodriguez Gonzalez ; Ramon Brcic ; Francesco De ZanINSAR REVEALS THE LONG TERM SUBSIDENCE AND POTENTIAL LANDDEGRADATION IN MEXICOCITY FROM 2004 TO 2018 WITH FIVE SAR SENSORS . 421Zheyuan Du ; Linlin Ge ; Alex Hay-Man Ng
POTENTIAL LANDSLIDE EARLY IDENTIFICATION ALONG NU RIVER WITH TIME SERIESINTERFEROMETRY . 425Jing Wang ; Chao Wang ; Hong Zhang ; Yixian Tang ; Wei DuanINFRASTRUCTURE STABILITY ANALYSIS BY COSMO-SKYMED PSP SAR INTERFEROMETRY:SPATIO-TEMPORAL ANALYSIS AND 3D MODELING. 429Salvatore Falco ; Federico Minati ; Francesco Vecchioli ; Mario CostantiniAUTOMATIC DETECTION OF INSAR DEFORMATION SIGNALS ASSOCIATED WITH HYDROCARBONPRODUCTION AND WASTEWATER INJECTION USING LAPLACIAN OF GAUSSIAN FILTERING. 433Scott Staniewicz ; Jingyi Chen ; Ellen Rathje ; Jon OlsonISOLATION FOREST FOR ANOMALY DETECTION IN HYPERSPECTRAL IMAGES. 437Kunzhong Zhang ; Xudong Kang ; Shutao LiA KERNEL BACKGROUND PURIFICATION BASED ANOMALY TARGET DETECTION ALGORITHMFOR HYPERSPECTRAL IMAGERY .
Yokohama, Japan 28 July - 2 August 2019 IEEE Catalog Number: ISBN: CFP19IGA-POD 978-1-5386-9155-7 IGARSS 2019 - 2019 IEEE International Geoscience and
IEEE 3 Park Avenue New York, NY 10016-5997 USA 28 December 2012 IEEE Power and Energy Society IEEE Std 81 -2012 (Revision of IEEE Std 81-1983) Authorized licensed use limited to: Australian National University. Downloaded on July 27,2018 at 14:57:43 UTC from IEEE Xplore. Restrictions apply.File Size: 2MBPage Count: 86Explore furtherIEEE 81-2012 - IEEE Guide for Measuring Earth Resistivity .standards.ieee.org81-2012 - IEEE Guide for Measuring Earth Resistivity .ieeexplore.ieee.orgAn Overview Of The IEEE Standard 81 Fall-Of-Potential .www.agiusa.com(PDF) IEEE Std 80-2000 IEEE Guide for Safety in AC .www.academia.eduTesting and Evaluation of Grounding . - IEEE Web Hostingwww.ewh.ieee.orgRecommended to you b
Standards IEEE 802.1D-2004 for Spanning Tree Protocol IEEE 802.1p for Class of Service IEEE 802.1Q for VLAN Tagging IEEE 802.1s for Multiple Spanning Tree Protocol IEEE 802.1w for Rapid Spanning Tree Protocol IEEE 802.1X for authentication IEEE 802.3 for 10BaseT IEEE 802.3ab for 1000BaseT(X) IEEE 802.3ad for Port Trunk with LACP IEEE 802.3u for .
Signal Processing, IEEE Transactions on IEEE Trans. Signal Process. IEEE Trans. Acoust., Speech, Signal Process.*(1975-1990) IEEE Trans. Audio Electroacoust.* (until 1974) Smart Grid, IEEE Transactions on IEEE Trans. Smart Grid Software Engineering, IEEE Transactions on IEEE Trans. Softw. Eng.
effort to get a much better Verilog standard in IEEE Std 1364-2001. Objective of the IEEE Std 1364-2001 effort The starting point for the IEEE 1364 Working Group for this standard was the feedback received from the IEEE Std 1364-1995 users worldwide. It was clear from the feedback that users wanted improvements in all aspects of the language.File Size: 2MBPage Count: 791Explore furtherIEEE Standard for Verilog Hardware Description Languagestaff.ustc.edu.cn/ songch/download/I IEEE Std 1800 -2012 (Revision of IEEE Std 1800-2009 .www.ece.uah.edu/ gaede/cpe526/20 IEEE Standard for SystemVerilog— Unified Hardware Design .www.fis.agh.edu.pl/ skoczen/hdl/iee Recommended to you b
IEEE 802.1Q—Virtual LANs with port-based VLANs IEEE 802.1X—Port-based authentication VLAN Support IEEE 802.1W—Rapid spanning tree compatibility IEEE 802.3—10BASE-T IEEE 802.3u—100BASE-T IEEE 802.3ab—1000BASE-T IEEE 802.3ac—VLAN tagging IEEE 802.3ad—Link aggregation IEEE
IEEE 1547-2003 IEEE P1032 IEEE 1378-1997 Controls IEEE 2030-2011 IEEE 1676-2010 IEEE C37.1 Communications IEC 61850-6 IEC TR 61850-90-1 & IEEE 1815.1-2015 IEC TR 61850-90-2 Cyber & Physical Security IEEE 1686-2013 IEEE 1402-2000
IEEE 610-1990 IEEE Standard Glossary of Software Engineering Terminology, IEEE, 1990 IEEE 829-2008 IEEE Std 829 IEEE Standard for Software and System Test Documentation, IEEE, 2008 IEEE 1012-2016 IEEE Standard for System, Software, and Hardware
Description Logic: A Formal Foundation for Ontology Languages and Tools Ian Horrocks Information Systems Group Oxford University Computing Laboratory Part 1: Languages . Contents Motivation Brief review of (first order) logic Description Logics as fragments of FOL Description Logic syntax and semantics Brief review of relevant complexity .
