Session Title | WEP2.PP: Big Data and Machine Learning - Machine Learning for Land Application |
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Presentation Mode | Poster |
Session Time | Wednesday, 31 July, 15:20 - 16:20 |
Location | Room 501-502: Poster Area P |
Session Chair | Zhengwei Yang, USDA National Agricultural Statistics Service |
WEP2.PP.1: EVALUATION OF MACHINE LEARNING-BASED URBAN SURFACE MAPPING USING A NEW MODERATE-RESOLUTION SATELLITE IMAGERY DATASET |
Xin Luo; Tongji University |
Xiaohua Tong; Tongji University |
Runjie Wang; Tongji University |
Haiyan Pan; Tongji University |
WEP2.PP.2: COMPARATIVE ASSESSMENT OF MACHINE LEARNING TECHNIQUES FOR LAND USE/LAND COVER CLASSIFICATION IN THE BRAZILIAN SAVANNA USING ALOS-2/PALSAR-2 POLARIMETRIC IMAGES |
Flavio Fortes Camargo; University of Brasilia |
Edson Eyji Sano; University of Brasilia |
Jose Claudio Mura; National Institute for Space Research (INPE) |
Claudia Maria de Almeida; National Institute for Space Research (INPE) |
Tati de Almeida; University of Brasilia |
WEP2.PP.3: CLOUD DETECTION AND CLASSIFICATION FOR S-NPP FSR CRIS DATA USING SUPERVISED MACHINE LEARNING |
Miao Tian; University of Electronic Science and Technology of China |
Hao Chen; University of Electronic Science and Technology of China |
Guanghui Liu; University of Electronic Science and Technology of China |
WEP2.PP.4: CROPLAND MAPPING IN FRAGMENTED AGRICULTURAL LANDSCAPE USING MODIFIED PYRAMID SCENE PARSING NETWORK |
Junwen Yang; Beijing Normal University |
Jinshui Zhang; Beijing Normal University |
Shuang Zhu; Beijing Normal University |
Qing Xu; Beijing Normal University |
Feng Zhang; Beijing Normal University |
Zhijiang Yang; Beijing Institute of Space Launch Technology |
Zheng Dong; Beijing Vocational College of Transportation |
WEP2.PP.5: OPEN MULTI-PROCESSING ACCELERATION FOR UNSUPERVISED LAND COVER CATEGORIZATION USING PROBABILISTIC LATENT SEMANTIC ANALYSIS |
Sergio Bernabe Garcia; Complutense University of Madrid |
Carlos Garcia; Complutense University of Madrid |
Ruben Fernandez-Beltran; University Jaume I |
Mercedes E. Paoletti; University of Extremadura |
Juan M. Haut; University of Extremadura |
Javier Plaza; University of Extremadura |
Antonio Plaza; University of Extremadura |
WEP2.PP.6: DIMENSIONALITY REDUCTION IN THE PRESENCE OF HIGHLY CORRELATED VARIABLES FOR RANDOM FORESTS: WETLAND CASE STUDY |
Amir Behnamian; Environment and Climate Change Canada |
Sarah Banks; Environment and Climate Change Canada |
Lori White; Environment and Climate Change Canada |
Koreen Millard; Environment and Climate Change Canada |
Darren Pouliot; Environment and Climate Change Canada |
Jon Pasher; Environment and Climate Change Canada |
Jason Duffe; Environment and Climate Change Canada |
WEP2.PP.7: SEQUENTIAL RECURRENT ENCODERS FOR LAND COVER MAPPING IN THE BRAZILIAN AMAZON USING MODIS IMAGERY AND AUXILIARY DATASETS |
Alejandro Coca-Castro; King's College London |
Marc RuĆwurm; Technical University of Munich |
Louis Reymondin; International Center for Tropical Agriculture |
Mark Mulligan; King's College London |
WEP2.PP.8: CAN A DEEP NETWORK UNDERSTAND THE LAND COVER ACROSS SENSORS? |
Zhongling Huang; Chinese Academy of Sciences |
Corneliu Octavian Dumitru; German Aerospace Center (DLR) |
Zongxu Pan; Chinese Academy of Sciences |
Bin Lei; Chinese Academy of Sciences |
Mihai Datcu; German Aerospace Center (DLR) |
WEP2.PP.9: DEEP CONVOLUTIONAL NETWORKS FOR CLOUD DETECTION USING RESOURCESAT-2 DATA |
Debvrat Varshney; Indian Institute of Remote Sensing |
Prasun Gupta; Indian Institute of Remote Sensing |
Claudio Persello; University of Twente |
Bhaskar Nikam; Indian Institute of Remote Sensing |
WEP2.PP.10: PREDICTING IMPERVIOUS LAND EXPANSION USING DEEP DECONVOLUTIONAL NEURAL NETWORKS |
Pariya Pourmohammadi; West Virginia University |
Donald Adjeroh; West Virginia University |
Michael Strager; West Virginia University |