Session Title | THP2.PD: Hyperspectral Remote Sensing IV |
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Presentation Mode | Poster |
Session Time | Thursday, 01 August, 15:20 - 16:20 |
Location | Room 501-502: Poster Area D |
Session Chair | Zhuo Zheng, Wuhan university |
THP2.PD.1: S3NET: TOWARDS REAL-TIME HYPERSPECTRAL IMAGERY CLASSIFICATION |
Zhuo Zheng; Wuhan University |
Yanfei Zhong; Wuhan University |
THP2.PD.2: EXPONENTIAL WEIGHTED RANDOM FOREST FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
Vikas Jain; Indian Institute of Information Technology Vadodara |
Ashish Phophalia; Indian Institute of Information Technology Vadodara |
THP2.PD.3: DENSITY PEAK BASED COVARIANCE MATRIX FOR HYPERSPECTRAL IMAGES CLASSIFICATIUON |
Bing Tu; Hunan Institute of Science and Technology |
Nanying Li; Hunan Institute of Science and Technology |
Wenlan Kuang; Hunan Institute of Science and Technology |
Jinping Wang; Hunan Institute of Science and Technology |
Chengle Zhou; Hunan Institute of Science and Technology |
THP2.PD.4: CROSS-DOMAIN EXTREME LEARNING MACHINE FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES |
Duo Shen; China University of Geosciences |
Li Ma; China University of Geosciences |
THP2.PD.5: HYPERSPECTRAL IMAGE CLASSIFICATION BY PARAMETERS PREDICTION NETWORKS |
Sheng Ji; Dalian University of Technology |
Xiaorui Ma; Dalian University of Technology |
Weibin Wang; Northeast China Grid Company Limited |
Li Yu; Northeast China Grid Company Limited |
Jie Geng; Northwestern Polytechnical University |
Hongyu Wang; Dalian University of Technology |
THP2.PD.6: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON JOINT SUPERPIXEL-CONSTRAINED AND WEIGHTED SPARSE REPRESENTATION |
Jun Rong; China University of Petroleum (East China) |
Hang Fu; China University of Petroleum (East China) |
Aizhu Zhang; China University of Petroleum (East China) |
Genyun Sun; China University of Petroleum (East China) |
Hui Huang; China University of Petroleum (East China) |
Yanling Hao; China University of Petroleum (East China) |
THP2.PD.7: MINERAL IDENTIFICATION AND CLASSIFICATION BY COMBINING USE OF HYPERSPECTRAL VNIR/SWIR AND MULTISPECTRAL TIR REMOTELY SENSED DATA |
Li Ni; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Hua Wu; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences |
THP2.PD.8: IS PRETRAINING NECESSARY FOR HYPERSPECTRAL IMAGE CLASSIFICATION? |
Hyungtae Lee; Booz Allen Hamilton Inc. |
Sungmin Eum; Booz Allen Hamilton Inc. |
Heesung Kwon; U.S. Army Research Laboratory |
THP2.PD.9: ISOTROPIC TOTAL VARIATION MINIMIZATION FOR SUB-PIXEL MAPPING |
Bouthayna Msellmi; Ensi-RIADI |
Daniele Picone; gipsa-lab |
Mauro Dalla Mura; gipsa-lab |
Zouhaier Ben Rabah; CNCT (Centre National de la Cartographie et de la Télédétection) |
Imed Riadh Farah; Ensi-RIADI |