International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-9: SAR and PolSAR Image Classification
Wed, 14 Jul, 11:00 - 12:10 (UTC)
Wed, 14 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Wed, 14 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Co-Chairs: Ronny Hänsch, German Aerospace Center and Florence Tupin, Telecom Paris
Session Manager: Miguel Hoyo García
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

WE2.MM-9.2: TRIPLET ATTENTION FEATURE FUSION NETWORK FOR SAR AND OPTICAL IMAGE LAND COVER CLASSIFICATION

Zhe Xu, Northwestern Polytechnical University, China; Jinbiao Zhu, Chinese Academy of Sciences, China; Jie Geng, Xinyang Deng, Wen Jiang, Northwestern Polytechnical University, China

WE2.MM-9.3: Multi-category SAR Images Generation Based on Improved Generative Adversarial Network

Shaoyan Du, Jun Hong, Yu Wang, Kaichu Xing, Tian Qiu, Aerospace Information Research Institute, Chinese Academy of Sciences, China

WE2.MM-9.4: From Pixel to Superpixel: A Multi-Scale Strategy for Polarimetric SAR Image Classification

Xianyuan Wang, Mengsi Yang, Liying Wang, Zongjie Cao, Yiming Pi, University of Electronic Science and Technology of China, China

WE2.MM-9.5: MACHINE LEARNING-BASED PARADIGM FOR BOOSTING THE SEMANTIC ANNOTATION OF EO IMAGES

Corneliu Octavian Dumitru, Gottfried Schwarz, Chandrabali Karmakar, Mihai Datcu, German Aerospace Center (DLR), Germany

WE2.MM-9.6: SYNERGETIC USE OF DESCENDING AND ASCENDING SAR WITH OPTICAL DATA FOR IMPERVIOUS SURFACE MAPPING

Ji Cheng, Genyun Sun, Aizhu Zhang, Hang Fu, zhijun Jiao, China University of Petroleum (East china), China; Yanjuan Yao, State Environmental Protection Key Laboratory of Satellite Remote Sensing, China

WE2.MM-9.7: DETECTION OF THE LEADS IN THE ARCTIC DRIFTING SEA ICE ON SAR IMAGES

Natalia Zakhvatkina, Vladimir Smirnov, Irina Bychkova, Valeriy Stepanov, Arctic and Antarctic Research Institute, Russia

WE2.MM-9.8: CV-MotionNet: Complex-Valued Convolutional Neural Network for SAR Moving Ship Targets Classification

Yun Zhang, Qinglong Hua, Yicheng Jiang, Hongbo Li, Dan Xu, Harbin Institude of Technology, China

WE2.MM-9.9: MULTI-SCALE SAR SHIP CLASSIFICATION WITH CONVOLUTIONAL NEURAL NETWORK

Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang, University of Electronic Science and Technology of China, China