TUPA.PA.32

HYPERSPECTRAL UNMIXING WITH ENDMEMBER SPECTRAL VARIABILITY USING A BRANCH NETWORK-BASED DEEP GENERATIVE AUTOENCODER

Hao Li, Nanchang Institute of Technology, China; Mengxiong Tang, Guangzhou Municipal Construction Group Co., LTD, Guangzhou, 510030, China., China; Shaoquan Zhang, Chengzhi Deng, Fan Li, Xingyuan Qian, Shengqian Wang, Nanchang Institute of Technology, China
Session:
TUPA.PA: Hyperspectral Data Processing and Analysis III Poster
Track:
Data Analysis
Location:
Poster Area 4: Trianti Balcony
Presentation Time:
Tue, 9 Jul, 10:40 - 11:40
Session Co-Chairs:
Emmett Ientilucci, Rochester Institute of Technology and Roozbeh Rajabi, University of Genoa
Presentation
Discussion
Resources
No resources available.
Session TUPA.PA
TUPA.PA.16: CENTER CATEGORY FOCUSING TRANSFORMER NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Yuanchen Zhu, Chunyan Yu, Meiping Song, Yulei Wang, Enyu Zhao, Haoyang Yu, Qiang Zhang, Dalian Maritime University, China
TUPA.PA.17: SOFT CURRICULUM GENERATOR-BASED ITERATIVE CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPERCRAL CLASSIFICATION
Shengwei Zhong, Nanjing University of Science and Technology, China
TUPA.PA.18: UAVINE: UAV HYPERSPECTRAL AND RGB IMAGE DATASET OF A VINEYARD -TEMPORAL CANOPY GROWTH MONITORING USING LEAF AREA INDEX
Olympia Kourounioti, Andreas El Saer, Lazaros Grammatikopoulos, Emmanouil Oikonomou, University of West Attica, Greece
TUPA.PA.19: Remote Sensing Image Watermarking using Archimedes Optimization Algorithm and Discrete Cosine Transform
Minal Bodke, (1)Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Nerul, India.(2) Pimpri Chinchwad College of Engineering & Research,, India; Sangita Chaudhari, (3)Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Nerul, India, India
TUPA.PA.20: SPARSE AUTOENCODER BASED HYPERSPECTRAL ANOMALY DETECTION WITH THE SINGULAR SPECTRUM ANALYSIS BASED SPECTRAL DENOISING
Yinhe Li, Jinchang Ren, Robert Gordon University, United Kingdom; Zhi Gao, Wuhan University, China; Genyun Sun, China University of Petroleum (East China), China
TUPA.PA.21: CYCLE-CONSISTENT SPARSE UNMIXING NETWORK BASED ON DEEP IMAGE PRIOR
Yifan Zhang, Chaoqun Dong, Shaohui Mei, Northwestern Polytechnical University, China
TUPA.PA.22: PREDICTION OF SUGAR LEVEL IN GRAPES USING MULTISPECTRAL IMAGING
Sujit Shinde, Jayantrao Mohite, Karan Bhavsar, Sanjay Kimbahune, Harsh Vishwakarma, Avik Ghose, Arpan Pal, TATA Consultancy Services, India
TUPA.PA.23: HYPERSPECTRAL BAND SELECTION BASED ON IMPROVED DUNG BEETLE OPTIMIZATION ALGORITHM
Fanxi Meng, Yulei Wang, Hongzhou Wang, Yuchao Yang, Enyu Zhao, Meiping Song, Chunyan Yu, Dalian Maritime University, China
TUPA.PA.24: VALIDATION OF SENTINEL-2 AND LANDSAT SURFACE REFLECTANCE PRODUCTS OVER VEGETATED LAND SITES USING THE LANDHYPERNET DATA.
Harry Morris, Morven Sinclair, Agnieszka Bialek, Pieter De Vis, National Physical Laboratory, United Kingdom; Anabel Gammaru, Kevin Ruddick, Royal Belgian Institute of Natural Sciences, Belgium
TUPA.PA.25: SELF-SUPERVISED CALIBRATION OF THE DENOISING NETWORKS FOR HSI
Orhan Torun, Seniha Esen Yuksel, Erkut Erdem, Hacettepe University, Turkey; Aykut Erdem, Koç University, Turkey
TUPA.PA.26: APPLICATIONS OF UAV-BORN HYPERSPECTRAL SENSING FOR THE MAPPING AND CHARACTERIZATION OF OIL SPILLS
Rebecca Scafutto, Guillaume Lassalle, Flavio Rodrigres, Carlos Roberto de Souza Filho, University of Campinas, Brazil
TUPA.PA.27: DECIPHERING WATER QUALITY AND ALGAL DYNAMICS IN CLEAR LAKE THROUGH HYPERSPECTRAL ANALYSIS USING EMIT DATA
Wenzhao Li, Shahryar Fazli, Surendra Maharjan, Hesham El-Askary, Earth Systems Science and Data Solutions Lab, United States
TUPA.PA.28: OIL SPILL ON MANGROVES UNEARTHED THROUGH UAV HYPERSPECTRAL AND LiDAR REMOTE SENSING
Carlos Roberto de Souza Filho, Guillaume Lassalle, Rebecca Scafutto, University of Campinas, Brazil
TUPA.PA.29: A Comparative Analysis of Siamese Networks and Spectral Angle Mapper for Mineral Detection using hyperspectral imagery
Katarzyna Jabłońska, Maciej Zięba, Wrocław University of Science and Technology/Four Point, Poland
TUPA.PA.30: GRSS DATA CURATION: BENCHMARK UAV DATASET FOR HYPERSPECTRAL TARGET DETECTION STUDIES
Emmett Ientilucci, Rochester Institute of Technology, United States; Ahmed Shayer Andalib, Videk, Inc, United States
TUPA.PA.31: SPATIALLY SPARSE AUGMENTED LINEAR UNMIXING FOR HYPERSPECTRAL IMAGES WITH ENDMEMBER SPECTRAL VARIABILITY
Pengfei Lai, Nanchang Institute of Technology, China; Mengxiong Tang, Guangzhou Municipal Construction Group Co. LTD, China; Shaoquan Zhang, Nanchang Institute of Technology, China; Ke Wang, East China Jiaotong University, China; Fan Li, Jiajun Zheng, Chengzhi Deng, Nanchang Institute of Technology, China
TUPA.PA.32: HYPERSPECTRAL UNMIXING WITH ENDMEMBER SPECTRAL VARIABILITY USING A BRANCH NETWORK-BASED DEEP GENERATIVE AUTOENCODER
Hao Li, Nanchang Institute of Technology, China; Mengxiong Tang, Guangzhou Municipal Construction Group Co., LTD, Guangzhou, 510030, China., China; Shaoquan Zhang, Chengzhi Deng, Fan Li, Xingyuan Qian, Shengqian Wang, Nanchang Institute of Technology, China
TUPA.PA.33: DUAL LINEAR REGRESSION IN TENSOR SPACE FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Lv-wei Zhang, Yang-Jun Deng, Hunan Agriculture University, China; Wei-Ye Wang, Chengdu University of Information Technology, China; Xing-Hui Zhu, Chen-Feng Long, Hunan Agriculture University, China
TUPA.PA.34: PREDICTION OF SUGAR LEVELS AND FRESHNESS OF GRAPES FROM MULTISPECTRAL IMAGING USING DEEP LEARNING
Sujit Shinde, TATA Consultancy Services, India; Mohammad Ghouse Syed, Icahn School of Medicine at Mount Sinai, United States; Karan Bhavsar, Jayantrao Mohite, Sanjay Kimbahune, Harsh Vishwakarma, Avik Ghose, Arpan Pal, TATA Consultancy Services, India
Resources
No resources available.