Session Title | FRP1.PH: Hyperspectral Band Selection |
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Presentation Mode | Poster |
Session Time | Friday, 02 August, 09:40 - 10:40 |
Location | Room 501-502: Poster Area H |
Session Chairs | Bo 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 |
SPRINT Presentation: 09:55 - 10:00 |
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 |