WE2.R9.1

ADAPTIVE SUPERPIXEL SEGMENTATION WITH FISHER VECTORS FOR SHIP DETECTION IN SAR IMAGES

Xueqian Wang, Gang Li, Tsinghua University, China; Antonio Plaza, University of Extremadura, Spain

Session:
Adaptive Segmentation and Optimization

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

Presentation Time:
Wed, 30 Sep, 14:30-14:40 (UTC)
Wed, 30 Sep, 22:30-22:40 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30-16:40 Central Europe Summer Time (UTC +2)
Wed, 30 Sep, 07:30-07:40 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Xiaofeng Li, Chinese Academy of Sciences and Sébastien Lefèvre, IRISA
Session Managers:
Weikai Tan and Pooja Shah

Presentation

Discussion

Resources

Session

WE2.R9.1: ADAPTIVE SUPERPIXEL SEGMENTATION WITH FISHER VECTORS FOR SHIP DETECTION IN SAR IMAGES
Xueqian Wang, Gang Li, Tsinghua University, China; Antonio Plaza, University of Extremadura, Spain
WE2.R9.2: MAPPING OF URBAN AREAS FROM SAR IMAGES VIA SEMANTIC SEGMENTATION
Wenjing He, Hongjun Song, Yuanyuan Yao, Hongying Jia, Aerospace Information Research Institute, Chinese Academy of Sciences, China
WE2.R9.3: SEGMENTATION OF SAR IMAGES BASED ON THE OPTIMAL LEVEL SETS USING CWOA
Shiyu Luo, Ling Tong, University of Electronic Science and Technology of China, China
WE2.R9.4: DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATION OF AERIAL IMAGERY USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS
Fabian Schenkel, Wolfgang Middelmann, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany
WE2.R9.5: INSTANCE SEGMENTATION OF BUILDINGS USING KEYPOINTS
Qingyu Li, Technical University of Munich, Germany; Lichao Mou, Yuansheng Hua, Yao Sun, German Aerospace Center, Germany; Pu Jin, Yilei Shi, Technical University of Munich, Germany; Xiaoxiang Zhu, German Aerospace Center, Germany
WE2.R9.6: UNSUPERVISED SEGMENTATION OF MULTILOOK COMPACT POLARIMETRIC SAR DATA BASED ON COMPLEX WISHART DISTRIBUTION
Mohsen Ghanbari, David A. Clausi, Linlin Xu, Mingzhe Jiang, University of Waterloo, Canada
WE2.R9.7: High-order Triplet CRF-PCANet for Unsupervised Segmentation of SAR Image
Peng Zhang, National Laboratory of Radar Signal Processing, Xidian University, China; Mohamed El Yazid Boudaren, School of Electronic Engineering, Ecole Militaire Polytechnique, Algeria; Yinyin Jiang, National Laboratory of Radar Signal Processing, Xidian University, China; Wanying Song, School of Electronic Engineering, Xidian University, China; Beibei Li, Ming Li, National Laboratory of Radar Signal Processing, Xidian University, China; Yan Wu, School of Electronic Engineering, Xidian University, China
WE2.R9.8: DBC: DEEP BOUNDARIES COMBINATION FOR FARMLAND BOUNDARY DETECTION BASED ON UAV IMAGERY
Xirong Li, Xin Xu, Rui Yang, Fangling Pu, Wuhan University, China
WE2.R9.9: SINGLE IMAGE CLOUD DETECTION VIA MULTI-IMAGE FUSION
Scott Workman, DZYNE Technologies, United States; M. Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs, University of Kentucky, United States
WE2.R9.10: PANCHROMATIC IMAGE LAND COVER CLASSIFICATION VIA DCNN WITH UPDATING ITERATION STRATEGY
Biao Hou, Yangfei Liu, Tuotuo Rong, Bo Ren, Zijuan Xiang, Xiangrong Zhang, Shuang Wang, Xidian University, China
WE2.R9.11: DO DEEP LEARNING MODELS GENERALIZE TO OVERHEAD IMAGERY FROM NOVEL GEOGRAPHIC LOCATIONS? THE XGD BENCHMARK PROBLEM
Bohao Huang, Kyle Bradbury, Leslie Collins, Jordan Malof, Duke University, United States