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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-13.8

Hyperspectral Anomaly Detection via Local Gradient Guidance

Jing Hu, Yujing Zhang, Minghua Zhao, Jiawei Ning, Min Zhang, Xi'an University of Technology, China; Yunsong Li, Joint Laboratory of High Speed Multi-source Image Coding and Processing, China
Session:
Hyperspectral Target Detection
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 14 Jul, 11:35-11:40 (UTC)
Wed, 14 Jul, 13:35-13:40 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:35-19:40 China Standard Time (UTC +8)
Wed, 14 Jul, 07:35-07:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Vincent Roy, Defence Research and Development Canada and Yanzi Shi, xidian university
Session Manager:
Jasper Feyen
Presentation
Discussion
Resources
Session WE2.MM-13
WE2.MM-13.1: HYPERSPECTRAL TARGET DETECTION WITH HIERARCHICAL DENOISING AUTOENCODER AND SUBSPACE PROJECTION
Yanzi Shi, Keyan Wang, Jiaojiao Li, Yunsong Li, Xidian University, China
WE2.MM-13.2: HYPERSPECTRAL ANOMALY DETECTION USING BILATERAL-FILTERED GENERATIVE ADVERSARIAL NETWORKS
Chunhui Zhao, Chuang Li, Shou Feng, Nan Su, Harbin Engineering University, China
WE2.MM-13.3: EDLAD: AN ENCODER-DECODER LONG SHORT-TERM MEMORY NETWORK-BASED ANOMALY DETECTOR FOR HYPERSPECTRAL IMAGES
Dehui Zhu, Bo Du, Liangpei Zhang, Wuhan University, China
WE2.MM-13.4: USING HYPERSPECTRAL IMAGING AND DEEP NEURAL NETWORK TO DETECT FUSARIUM WILT ON PHALAENOPSIS
Yung Hsu, Yen-Chieh Ouyang, Jun-Yi Lu, National Chung Hsing University, Taiwan; Mang Ou-Yang, National Chiao Tung University, Taiwan; Horng-Yuh Guo, Tsang-Sen Liu, Taiwan Agriculture Research Institute, Taiwan; Hsian-Min Chen, Taichung Veterans General Hospital, Taiwan; Chao-Cheng Wu, National Taipei University of Technology, Taiwan; Chia-Hsien Wen, Providence University, Taiwan; Min-Shao Shih, National Chung Hsing University, Taiwan; Chein-I Chang, University of Maryland Baltimore County, United States
WE2.MM-13.5: DEEP NEURAL NETWORK TRAINING USING SYNTHETIC SIGNATURES FOR RARE TARGET DETECTION IN SWIR HYPERSPECTRAL IMAGERY
Ludovic Girard, Vincent Roy, Defence Research and Development Canada, Canada; Philippe Giguère, Thierry Eude, Université Laval, Canada
WE2.MM-13.6: LOW-RANK REPRESENTATION INCORPORATING LOCAL SPATIAL CONSTRAINT FOR HYPERSPECTRAL ANOMALY DETECTION
Hao Li, Ruyi Feng, Lizhe Wang, China University of Geosciences, China; Yanfei Zhong, Liangpei Zhang, Wuhan University, China; Lifei Wei, Hubei University, China
WE2.MM-13.7: PTGAN: A PROPOSAL-WEIGHTED TWO-STAGE GAN WITH ATTENTION FOR HYPERSPECTRAL TARGET DETECTION
Haonan Qin, Weiying Xie, Yunsong Li, Kai Jiang, Jie Lei, Xidian University, China; Qian Du, Mississippi State University, United States
WE2.MM-13.8: Hyperspectral Anomaly Detection via Local Gradient Guidance
Jing Hu, Yujing Zhang, Minghua Zhao, Jiawei Ning, Min Zhang, Xi'an University of Technology, China; Yunsong Li, Joint Laboratory of High Speed Multi-source Image Coding and Processing, China
WE2.MM-13.9: UNMIXING-BASED UNDERWATER TARGET DETECTION FOR HYPERSPECTRAL IMAGERY
Jiahao Qi, Wei Xue, Aihuan Yao, Ping Zhong, National University of Defence Technology, China
WE2.MM-13.10: HYPERSPECTRAL MEASUREMENTS FOR SHIP DETECTION USING AIRBORNE IMAGE DATA
Jae-Jin Park, Kyung-Ae Park, Seoul National University, Korea (South); Tae-Sung Kim, Sangwoo Oh, Moonjin Lee, Korea Research Institute of Ships & Ocean Engineering, Korea (South)

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