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MOP.PF: Analysis of Hyperspectral Data

Session Type: Poster

Time: Monday, July 27, 17:20 - 19:00

Location: Poster Area F

Session Chair: Marco Chini, Lippmann

MOP.PF.1: MIXED GAUSSIAN AND IMPULSE DENOISING OF HYPERSPECTRAL IMAGES

Hemant Kumar Aggarwal; Indraprastha Institute of Information Technology-Delhi

Angshul Majumdar; Indraprastha Institute of Information Technology-Delhi

MOP.PF.2: GABOR FEATURE BASED DICTIONARY FUSION FOR HYPERSPECTRAL IMAGERY CLASSIFICATION

Sen Jia; Shenzhen University

Jie Hu; Shenzhen University

Guihua Tang; Shenzhen University

Linlin Shen; Shenzhen University

Lin Deng; Shenzhen University

MOP.PF.3: TOTAL VARIATION AND LQ BASED HYPERSPECTRAL UNMIXING FOR FEATURE EXTRACTION AND CLASSIFICATION

Jakob Sigurdsson; University of Iceland

Magnus O. Ulfarsson; University of Iceland

Johannes R. Sveinsson; University of Iceland

MOP.PF.4: PARTICLE SWARM OPTIMIZATION/IMPURITY FUNCTION CLASS OVERLAPPING SCHEME BASED ON MULTIPLE ATTRIBUTE DECISION MAKING MODEL FOR HYPERSPECTRAL BAND SELECTION

Yang-Lang Chang; National Taipei University of Technology

Lena Chang; National Taiwan Ocean University

Jyh-Perng Fang; National Taipei University of Technology

Min-Yu Huang; National Taipei University of Technology

Kuo-Kai Lin; National Taipei University of Technology

Jen-Shian Wu; National Taipei University of Technology

Bormin Huang; University of Wisconsin-Madison

MOP.PF.5: A NEW SPARSITY-AWARE FEATURE SELECTION METHOD FOR HYPERSPECTRAL IMAGE CLUSTERING

Spyridoula Xenaki; National Observatory of Athens

Konstantinos Koutroumbas; National Observatory of Athens

Athanasios Rontogiannis; National Observatory of Athens

Olga Sykioti; National Observatory of Athens

MOP.PF.6: AN APPLICATION OF PERSISTENT HOMOLOGY ON GRASSMANN MANIFOLDS FOR THE DETECTION OF SIGNALS IN HYPERSPECTRAL IMAGERY

Sofya Chepushtanova; Colorado State University

Michael Kirby; Colorado State University

Chris Peterson; Colorado State University

Lori Ziegelmeier; Macalester College

MOP.PF.7: MULTISPECTRAL SENSOR DESIGN USING PERFORMANCE MEASURE-BASED HYPERSPECTRAL BAND GROUPING

Matthew Lee; Mississippi State University

Derek Anderson; Mississippi State University

John Ball; Mississippi State University

Nicholas Younan; Mississippi State University

MOP.PF.8: BAND WEIGHTING SPECTRAL MEASUREMENT FOR DETECTION OF PESTICIDE RESIDUES USING HYPERSPECTRAL REMOTE SENSING

Chao-Cheng Wu; Taipei Tech

Yuan-Hsun Liao; Providence University

Wei-Sheng Lo; Taiwan Agriculture Research Institute

Horng-Yuh Guo; Taiwan Agriculture Research Institute

Chinsu Lin; National Chiayi University

Chia-Hisen Wen; Providence University

Hsian-Min Chen; Veterans General Hospital

Yen-Chieh Ouyang; National Ching Hsing University

Chein-I Chang; University of Maryland, Baltimore County

MOP.PF.9: A NONLINEAR FEATURE SELECTION METHOD BASED ON KERNEL SEPARABILITY MEASURE FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Pei-Jyun Hsieh; National Taichung University of Education

Cheng-Hsuan Li; National Taichung University of Education

Bor-Chen Kuo; National Taichung University of Education

MOP.PF.10: INTRODUCING CO-CLUSTERING FOR HYPERSPECTRAL IMAGE ANALYSIS

Emma Izquierdo-Verdiguier; University of Twente

Raúl Zurita-Milla; University of Twente

MOP.PF.11: SEMI-SUPERVISED GAS DETECTION IN HYPERSPECTRAL IMAGING

Safak Ozturk; Havelsan Incorporatoin

Yusuf Artan; Havelsan Incorporatoin

Yunus Emre Esin; Havelsan Incorporatoin

Mustafa Yaman; Havelsan Incorporatoin

Ahmet Erdem; Havelsan Incorporatoin

MOP.PF.12: ENDMEMBER EXTRACTION USING A NOVEL CLUSTER-BASED SPATIAL BORDER REMOVAL PREPROCESSOR

Fatemeh Kowkabi; Islamic azad university of Marvdasht

Hassan Ghassemian; Tarbiat Modares University

Ahmad Keshavarz; Persian Gulf University