July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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My IGARSS 2019 Schedule

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Session Detail

Session Title FRP1.PH: Hyperspectral Band Selection
Presentation Mode Poster
Session Time Friday, 02 August, 09:40 - 10:40
Location Room 501-502: Poster Area H
Session ChairsBo Du, Wuhan University and Ailong Ma, Wuhan University
  FRP1.PH.1: ANOMALY DETECTION-ORIENTED BAND SELECTION FOR HYPERSPECTRAL IMAGE
         Lang Ren; Hangzhou Dianzi University
         Liaoying Zhao; Hangzhou Dianzi University
         Xiaorun Li; Zhejiang University
  FRP1.PH.2: GLOBAL SELF-LABELED DISTRIBUTION ANALYSIS FOR HYPERSPECTRAL BAND SELECTION
         Xinyi Tong; Beihang University
         Jihao Yin; Beihang University
         Limin Wu; Beijing Institute of Space Mechanics & Electricity
         Hui Qv; Beihang University
  FRP1.PH.3: HYPERSPECTRAL REMOTE SENSING IMAGE BAND SELECTION VIA MULTI-OBJECTIVE SINE COSINE ALGORITHM
         Yuting Wan; Wuhan University
         Yanfei Zhong; Wuhan University
         Ailong Ma; Wuhan University
         Liangpei Zhang; Wuhan University
  FRP1.PH.4: ROBUST MULTI-FEATURE SPECTRAL CLUSTEIRNG FOR HYPERSPECTRAL BAND SELECTION
         Weiwei Sun; Ningbo University
         Gang Yang; Ningbo University
         Jialin Li; Ningbo University
  FRP1.PH.5: HYPERSPECTRAL BAND SELECTION BASED ON TERNARY WEIGHT CONVOLUTIONAL NEURAL NETWORK
         Jie Feng; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
         Di Li; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
         Jiantong Chen; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
         Xiangrong Zhang; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
         Xu Tang; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
         Xiande Wu; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University
  FRP1.PH.6: PARTICLE SWARM OPTIMIZATION-BASED HOTSPOT ANALYSIS AND IMPURITY FUNCTION BAND PRIORITIZATION USING MULTIPLE ATTRIBUTE DECISION-MAKING MODEL FOR BAND SELECTION OF HYPERSPECTRAL IMAGES
         Yang-Lang Chang; National Taipei University of Technology
         Amare Anagaw Ayele; National Taipei University of Technology
         Min-Yu Huang; National Taipei University of Technology
         Haw Yuan; National Taipei University of Technology
         Lena Chang; National Taiwan Ocean University
         Wen-Yen Chang; National Dong Hwa University
  FRP1.PH.7: BAND SELECTION USING SEGMENTED PCA AND COMPONENT LOADINGS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Munmun Baisantry; Defence Terrain Research Laboratory
         Anil Kumar Sao; Indian Institute of Technology Mandi
  FRP1.PH.8: UNIFORM BAND INTERVAL DIVIDED BAND SELECTION
         Fang Li; Dalian Maritime University
         Hongju Cao; Dalian Maritime University
         Xiaodi Shang; Dalian Maritime University
         Meiping Song; Dalian Maritime University
         Chunyan Yu; Dalian Maritime University
         Chein-I Chang; Dalian Maritime University
  FRP1.PH.9: ATTENTION NETWORKS FOR BAND WEIGHTING AND SELECTION IN HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION
         Jing Wang; Chinese Academy of Sciences /University of Chinese Academy of Sciences, China / Griffith University
         Jun Zhou; Griffith University
         Weiqing Huang; Chinese Academy of Sciences
         Jackie Chen; William G. Enloe Magnet High School
  FRP1.PH.10: A BAND SELECTION BASED 1D-CNN TO CLASSIFIY OIL FILM THICKNESS
         Bingxin Liu; Dalian Maritime University
         Gang Guo; Dalian Maritime University
         Donglai Wu; Dalian Maritime University
         Guannan Li; Dalian Maritime University
         Ying Li; Dalian Maritime University
  FRP1.PH.11: UNSUPERVISED DISCRIMINATIVE DIMENSION REDUCTION FOR HYPERSPECTRAL CHEMICAL PLUME SEGMENTATION
         James Murphy; Tufts University
         Mauro Maggioni; Johns Hopkins University
  FRP1.PH.12: A DISCRIMINATIVELY LEARNED CNN EMBEDDING FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION
         Wen Wang; University of Electronic Science and Technology of China
         Lijun Du; Leshan Normal University
         Yinxing Gao; University of Electronic Science and Technology of China
         Yanzhou Su; University of Electronic Science and Technology of China
         Feng Wang; University of Electronic Science and Technology of China
         Jian Cheng; University of Electronic Science and Technology of China