2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

WE1.R20.6

SPECTRAL PROPERTIES ANALYSIS OF WASTEWATER IN OIL FIELD AND ITS REMOTE SENSING DETECTION WITH GF-2

Yang Liu, Nannan Zhang, Hongyan Guo, Shanhong Huang, PetroChina, China; Miaofen Huang, Guangdong Ocean University, China; Song Liu, PetroChina, China
Session:
Processing Schemes for Hyperspectral Imaging
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 30 Sep, 12:50-13:00 (UTC)
Wed, 30 Sep, 20:50-21:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:50-15:00 Central Europe Summer Time (UTC +2)
Wed, 30 Sep, 05:50-06:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Shutao Li, Hunan University and Begüm Demir, Technische Universität Berlin
Session Managers:
Elena Donini and Elena Ionescu

Presentation

Discussion

Resources

Session

WE1.R20.1: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON SEMI-SUPERVISED DUAL-BRANCH CONVOLUTIONAL AUTOENCODER WITH SELF-ATTENTION
Jie Feng, Zhanwei Ye, Di Li, Yuping Liang, Xu Tang, Xiangrong Zhang, Xidian University, China
WE1.R20.2: HYPERSPECTRAL BAND SELECTION USING MOTH-FLAME METAHEURISTIC OPTIMIZATION
Ethan Worch, Sathishkumar Samiappan, Meilun Zhou, John E. Ball, Mississippi State University, United States
WE1.R20.3: MULTI-DIMENSION CNN FOR HYPERSPECTRAL IMAGE CLASSIFICATON
Haojie Cai, Tao Chen, China University of Geosciences, China
WE1.R20.4: LOCAL CORRELATION BASED DATA GRAVITATION CLASSIFICATION FOR HYPERSPECTRAL IMAGE
Chenglong Zhang, Aizhu Zhang, Genyun Sun, China University of Petroleum (East China), China; Yanjuan Yao, Satellite Environment Center, Ministry of Environmental Protection of China, China
WE1.R20.5: HYPERSPECTRAL IMAGE CLASSIFICATION VIA MULTI-SCALE ENCODER-DECODER NETWORK
Jingjing Ma, Linlin Wu, Xu Tang, Xiangrong Zhang, Cheng Zhu, Xidian University, China; Junyong Ma, Science and Technology on Electro-optic Control Laboratory, China; Licheng Jiao, Xidian University, China
WE1.R20.6: SPECTRAL PROPERTIES ANALYSIS OF WASTEWATER IN OIL FIELD AND ITS REMOTE SENSING DETECTION WITH GF-2
Yang Liu, Nannan Zhang, Hongyan Guo, Shanhong Huang, PetroChina, China; Miaofen Huang, Guangdong Ocean University, China; Song Liu, PetroChina, China
WE1.R20.7: UNSUPERVISED FEATURE EXTRACTION IN HYPERSPECTRAL IMAGE BASED ON IMPROVED NEIGHBORHOOD PRESERVING EMBEDDING
Jia Feng, Junping Zhang, Harbin Institute of Technology, China
WE1.R20.8: MULTI-CLASSIFIERS CONSISTENCY BASED UNSUPERVISED MANIFOLD ALIGNMENT FOR CLASSIFICATION OF REMOTE SENSING IMAGES
Hongkang Wei, Li Ma, Xiaobo Liu, China University of Geosciences, China
WE1.R20.9: ACTIVE DEEP FEATURES EXTRACTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON DICTIONARY LEARNING
Xue Wang, Kun Tan, East China Normal University, China; Xiuping Jia, University of New South Wales, Australia; Zhaoxian Liu, Second Surveying and Mapping Institute of Hebei, China
WE1.R20.10: FEATURE CONCATENATION OF HYPERSPECTRAL AND DEM DATA FOR LAND COVER CLASSIFICATION
Wolfgang Gross, Dimitri Bulatov, Simon Schreiner, Wolfgang Middelmann, Fraunhofer IOSB, Germany
WE1.R20.11: IMPROVED VEGETATION AND WILDFIRE FUEL TYPE MAPPING USING NASA AVIRIS-NG HYPERSPECTRAL DATA, INTERIOR AK
Christopher Smith, Santosh Panda, Uma Bhatt, Franz Meyer, University of Alaska Fairbanks, United States; Robert Haan, University of Alaska Anchorage, United States