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TUP1.PI: Estimation and Regression in Hyperspectral Data I

Session Type: Poster

Time: Tuesday, July 24, 10:10 - 11:10

Location: Poster Area I

Session Chair: Jordi Inglada, CESBIO

TUP1.PI.1: HYPERSPECTRAL IMAGERY DENOISING USING MULTI-LINEAR WEIGHTED NUCLEAR NORM MINIMIZATION

Xiangyang Kong; Northwestern Polytechnical University

Yongqiang Zhao; Northwestern Polytechnical University

Jonathan Cheung-Wai Chan; Vrije Universiteit Brussel

TUP1.PI.2: PREDICTION OF SOIL ARSENIC CONTENT USING REFLECTANCE SPECTROSCOPY

Weichao Sun; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Xia Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

TUP1.PI.3: A NEW UNMIXING-BASED APPROACH FOR SHADOW CORRECTION OF HYPERSPECTRAL REMOTE SENSING DATA

Moussa Sofiane Karoui; Centre des Techniques Spatiales

Khelifa Djerriri; Centre des Techniques Spatiales

TUP1.PI.4: A NOVEL NONCONVEX SPARSITY MEASURE FOR HYPERSPECTRAL IMAGES RESTORATION

Ting Xie; Hunan University

Shutao Li; Hunan University

Leyuan Fang; Hunan University

Licheng Liu; Hunan University

TUP1.PI.5: NON-CONVEX LOW-RANK APPROXIMATION FOR HYPERSPECTRAL IMAGE RECOVERY WITH WEIGHTED TOTAL VARAITION REGULARIZATION

Hanyang Li; Nanjing University of Science and Technology

Peipei Sun; Nanjing University of Science and Technology

Hongyi Liu; Nanjing University of Science and Technology

Zebin Wu; Nanjing University of Science and Technology

Zhihui Wei; Nanjing University of Science and Technology

TUP1.PI.6: SEMI-TENSOR COMPRESSED SENSING FOR HYPERSPECTRAL IMAGE

Wei Fu; Hunan University

Shutao Li; Hunan University

TUP1.PI.7: COMPARISON OF FOUR DIFFERENT SUN-INDUCED CHLOROPHYLL FLUORESCENCE RETRIEVAL ALGORITHMS USING SIMULATED AND FIELD-MEASURED DATA

Menghao Ji; State Key Laboratory of Resources and Environment Information System

Bo-Hui Tang; State Key Laboratory of Resources and Environment Information System

TUP1.PI.8: RETRIEVAL OF ATMOSPHERIC AND LAND SURFACE PARAMETERS FROM SATELLITE-BASED THERMAL INFRARED HYPERSPECTRAL DATA USING AN ARTIFICIAL NEURAL NETWORK TECHNIQUE

Mengshuo Chen; University of Chinese Academy of Sciences

Li Ni; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Xiaoguang Jiang; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Zhao-Liang Li; Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences

Hua Wu; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

TUP1.PI.9: DETECTING RICE BLAST DISEASE USING MODEL INVERTED BIOCHEMICAL VARIABLES FROM CLOSE-RANGE REFLECTANCE IMAGERY OF FRESH LEAVES

Long Tian; Nanjing Agricultural University

Zefu Wan; Nanjing Agricultural University

Dong Li; Nanjing Agricultural University

Jiale Jiang; Nanjing Agricultural University

Xia Yao; Nanjing Agricultural University

Qiang Cao; Nanjing Agricultural University

Yongchao Tian; Nanjing Agricultural University

Yan Zhu; Nanjing Agricultural University

Weixing Cao; Nanjing Agricultural University

Tao Cheng; Nanjing Agricultural University