IEEE IGARSS 2020 || Virtual Symposium || September 26

TH1.R17: Learning and Adaptive Methods for Image Clustering

Not logged in.

Thu, 1 Oct, 12:00 - 14:00 (UTC)
Thu, 1 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 1 Oct, 14:00 - 16:00 Central Europe Summer Time (UTC +2)
Thu, 1 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)

Session Co-Chairs: Xudong Kang, Hunan University and Thales Körting, INPE

Session Managers: Ahmed Balakhder and Genc Hoxha

Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

12:00-12:10 (UTC)
20:00-20:10 (UTC +8)
14:00-14:10 (UTC +2)
05:00-05:10 (UTC -7)

TH1.R17.1: PATCH BASED LAND COVER CLASSIFICATION: A COMPARISON OF DEEP LEARNING, SVM AND NN CLASSIFIERS

Mahesh Pal, Akshay Poriya, Himanshu Rohilla, B. Charan Teja, National Institute of Technology, Kurukshetra, India

12:10-12:20 (UTC)
20:10-20:20 (UTC +8)
14:10-14:20 (UTC +2)
05:10-05:20 (UTC -7)

TH1.R17.2: A LEARNABLE BLUR KERNEL FOR REMOTE SENSING IMAGE RETRIEVAL

Zelin Peng, Guanchun Wang, Xiangrong Zhang, Xu Tang, Xidian University, China; Li Gao, State Key Laboratory of Geo-information Engineering, China; Licheng Jiao, Xidian University, China

12:20-12:30 (UTC)
20:20-20:30 (UTC +8)
14:20-14:30 (UTC +2)
05:20-05:30 (UTC -7)

TH1.R17.3: INTEGRATION OF SENTINEL 1 AND 2 OBSERVATIONS FOR MAPPING EARLY AND LATE SOWING OF SOYBEAN AND COTTON CROP USING DEEP LEARNING

Jayantrao Mohite, Suryakant Sawant, Ankur Pandit, Srinivasu Pappula, Tata Consultancy Services, India

12:30-12:40 (UTC)
20:30-20:40 (UTC +8)
14:30-14:40 (UTC +2)
05:30-05:40 (UTC -7)

TH1.R17.4: END-TO-END DEEP LEARNING SEMANTIC CLASSIFICATION ARCHITECTURE FOR REMOTE SENSING IMAGERY

Haiyan Gu, Yi Yang, Yanshun Han, Haitao Li, Chinese Academy of Surveying and Mapping, China; Ying Tang, Lanzhou Jiaotong University, China

12:40-12:50 (UTC)
20:40-20:50 (UTC +8)
14:40-14:50 (UTC +2)
05:40-05:50 (UTC -7)

TH1.R17.5: PYRAMID CONVOLUTIONAL NEURAL NETWORKS AND BOTTLENECK RESIDUAL MODULES FOR CLASSIFICATION OF MULTISPECTRAL IMAGES

Yukun Huang, Jiangxi University of Finance and Economics, China; Jingbo Wei, Wenchao Tang, Chaoqi He, Nanchang University, China

12:50-13:00 (UTC)
20:50-21:00 (UTC +8)
14:50-15:00 (UTC +2)
05:50-06:00 (UTC -7)

TH1.R17.11: APPROACHING REMOTE SENSING IMAGE CLASSIFICATION WITH ENSEMBLES OF SUPPORT VECTOR MACHINES ON THE D-WAVE QUANTUM ANNEALER

Gabriele Cavallaro, Dennis Willsch, Madita Willsch, Kristel Michielsen, Morris Riedel, Forschungszentrum Jülich, Germany

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

TH1.R17: Learning and Adaptive Methods for Image Clustering

TH1.R17.1: PATCH BASED LAND COVER CLASSIFICATION: A COMPARISON OF DEEP LEARNING, SVM AND NN CLASSIFIERS

TH1.R17.2: A LEARNABLE BLUR KERNEL FOR REMOTE SENSING IMAGE RETRIEVAL

TH1.R17.3: INTEGRATION OF SENTINEL 1 AND 2 OBSERVATIONS FOR MAPPING EARLY AND LATE SOWING OF SOYBEAN AND COTTON CROP USING DEEP LEARNING

TH1.R17.4: END-TO-END DEEP LEARNING SEMANTIC CLASSIFICATION ARCHITECTURE FOR REMOTE SENSING IMAGERY

TH1.R17.5: PYRAMID CONVOLUTIONAL NEURAL NETWORKS AND BOTTLENECK RESIDUAL MODULES FOR CLASSIFICATION OF MULTISPECTRAL IMAGES

TH1.R17.6: SAMPLING SUBJECTIVE POLYGONS FOR PATCH-BASED DEEP LEARNING LAND-USE CLASSIFICATION IN SATELLITE IMAGES

TH1.R17.7: SIMILAR REGION RECOMMENDATION BASED ON HISTOGRAM FEATURES

TH1.R17.8: A CYCLE GAN APPROACH FOR HETEROGENEOUS DOMAIN ADAPTATION IN LAND USE CLASSIFICATION

TH1.R17.9: FROM SUPERVISED TO UNSUPERVISED LEARNING FOR LAND COVER ANALYSIS OF SENTINEL-2 MULTISPECTRAL IMAGES.

TH1.R17.10: Deep Convolutional Neural Network for Mangrove Mapping

TH1.R17.11: APPROACHING REMOTE SENSING IMAGE CLASSIFICATION WITH ENSEMBLES OF SUPPORT VECTOR MACHINES ON THE D-WAVE QUANTUM ANNEALER