TUP1.PH: Classification of Hyperspectral Data

Session Type: Poster
Time: Tuesday, July 24, 10:10 - 11:10
Location: Poster Area H
Session Chair: Javier Plaza, University of Extremadura
 
TUP1.PH.1: INNOVATIVE MULTI PCNN BASED NETWORK FOR GREEN AREA MONITORING - IDENTIFICATION AND DESCRIPTION OF NEARLY INDISTINGUISHABLE AREAS - IN HYPERSPECTRAL SATELLITE IMAGES
         Serban Vasile Carata; Institute of Space Science
         Mihai Gabriel Constantin; University Politehnica of Bucharest
         Veta Ghenescu; Institute of Space Science
         Mihai Chindea; UTI Grup
         Marian Traian Ghenescu; Institute of Space Science
 
TUP1.PH.2: CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON HYBRID NEURAL NETWORKS
         Anyan Fu; Dalian University of Technology
         Xiaorui Ma; Dalian University of Technology
         Hongyu Wang; Dalian University of Technology
 
TUP1.PH.3: AI-NET: ATTENTION INCEPTION NEURAL NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Zhitong Xiong; Northwestern Polytechnical University
         Yuan Yuan; Northwestern Polytechnical University
         Qi Wang; Northwestern Polytechnical University
 
TUP1.PH.4: SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE BASED ROTATION FOREST FOR THE CLASSIFICATION OF UNBALANCED HYPERSPECTRAL DATA
         Wei Feng; Chinese Academy of Sciences
         Wenjiang Huang; Chinese Academy of Sciences
         Huichun Ye; Chinese Academy of Sciences
         Longlong Zhao; Chinese Academy of Sciences
 
TUP1.PH.5: COMPARISON OF K-MEANS AND LDA FOR SOIL CLASSIFICATION USING COASTAL HYPERSPECTRAL DATA
         Jayneel Vora; Nirma University
         Tanish Zaveri; Nirma University
         Dharam Shah; Nirma University
         Pooja Shah; Nirma University
 
TUP1.PH.6: CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES BY AN ENSEMBLE OF SUPPORT VECTOR MACHINES UNDER IMBALANCED DATA
         Laxmi Narayana Eeti; Indian Institute of Technology Bombay
         Krishna Mohan Buddhiraju; Indian Institute of Technology Bombay
 
TUP1.PH.7: IMPROVED ITERATIVE ERROR ANALYSIS USING SPECTRAL SIMILARITY MEASURES FOR VEGETATION CLASSIFICATION IN HYPERSPECTRAL IMAGES
         Ahram Song; Seoul National University
         Yongil Kim; Seoul National University
 
TUP1.PH.8: USING IMAGE SEGMENTATION AND SUB-PIXEL MAPPING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Huan Xie; Tongji University
         Qing Hu; Tongji University
         Li Du; Tongji University
         Xiong Xv; Tongji University
         Sa Gao; Tongji University
         Sicong Liu; Tongji University
         Haiyan Pan; Tongji University
         Xiaohua Tong; Tongji University
 
TUP1.PH.9: SMALL SIZE CLASS PRESERVING CLASSIFICATION BASED ON SEGMENTATION FOR HYPERSPECTRAL DATA
         Tatsuya Yamada; The University of Tokyo
         Junshi Xia; The University of Tokyo
         Akira Iwasaki; The University of Tokyo
 
TUP1.PH.10: CLASSIFICATION OF URBAN MATERIALS USING ARTIFICIAL COLOR FEATURES FOR HYPERSPECTRAL DATA
         Shailesh Deshpande; TCS Innovation and Research, Tata Research Development and Design Centre
         Arun Inamdar; Centre of Studies in Resource Engineering, Indian Institute of Technology-Bombay
         Balamuralidhar P; TCS Innovation and Research