My IGARSS 2018 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Create a login based on your email (takes less than one minute)
Perform 'Paper Search'
Select papers that you desire to save in your personalized schedule
Click on 'My Schedule' to see the current list of selected papers
Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WEP1.PF: Hyperspectral Data Processing I

Session Type: Poster

Time: Wednesday, July 25, 10:10 - 11:10

Location: Poster Area F

Session Chair: Sebastiano Serpico, University of Genoa

WEP1.PF.1: LOW-COMPLEXITY HYPERSPECTRAL IMAGE COMPRESSION USING FOLDED PCA AND JPEG2000

Shaohui Mei; Northwestern Polytechnical University

Bakht Muhammad Khan; Northwestern Polytechnical University

Yifan Zhang; Northwestern Polytechnical University

Qian Du; Mississippi State University

WEP1.PF.2: SPARSE AND SMOOTH FEATURE EXTRACTION FOR HYPERSPECTRAL IMAGERY

Behnood Rasti; Keilir Institute of Technology (KIT), University of Iceland

Magnus Orn Ulfarsson; University of Iceland

Pedram Ghamisi; German Aerospace Center (DLR)

WEP1.PF.3: CROSS-SCENE FEATURE SELECTION FOR HYPERSPECTRAL IMAGES BASED ON CROSS-DOMAIN INFORMATION GAIN

Minchao Ye; China Jiliang University

Yongqiu Xu; China Jiliang University

Huijuan Lu; China Jiliang University

Ke Yan; China Jiliang University

Yuntao Qian; Zhejiang University

WEP1.PF.5: IMPROVED RANDOM PROJECTION WITH K-MEANS CLUSTERING FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Vineetha Menon; University of Alabama in Huntsville

Qian Du; Mississippi State University

Sundar Christopher; University of Alabama in Huntsville

WEP1.PF.6: MONTE CARLO NON-LOCAL MEANS METHOD FOR HYPERSPECTRAL IMAGE DENOISING

Chuyin Deng; Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University

Liyan Li; Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University

Zhi He; Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University

Jun Li; Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University

Yuanhui Zhu; Center of Geographic Information Analysis for Public Security, School of Geographic Sciences, Guangzhou University

WEP1.PF.7: SEMI-SUPERVISED CLASSIFICATION OF HYPERSPECTRAL DATA FOR GEOLOGIC BODY BASED ON GENERATIVE ADVERSARIAL NETWORKS AT TIANSHAN AREA

Jin Qin; Beijing Normal University

Ying Zhan; Beijing Normal University

Kang Wu; Beijing Normal University

Wei Liu; Beijing Normal University

Zhaoying Yang; Beijing Normal University

Wang Yao; Beijing Normal University

Yasmine Medjadba; Beijing Normal University

Yuanfei Zhang; China Non-ferrous Metals Resource Geological Survey

Xianchuan Yu; Beijing Normal University

WEP1.PF.8: A NOVEL DEEP LEARNING FRAMEWORK BY COMBINATION OF SUBSPACE-BASED FEATURE EXTRACTION AND CONVOLUTIONAL NEURAL NETWORKS FOR HYPERSPECTRAL IMAGES CLASSIFICATION