THP2.PA.12
UNSUPERVISED HYPERSPECTRAL UNMIXING VIA AUTOENCODER-GUIDED ELLIPTIC GRAPH ATTENTION NETWORK
Roshan Bhamare, Arun P V, Indian Institute of Information Technology Sri City, India
Session:
THP2.PA: Deep Learning for Remote Sensing Image Analysis and Understanding Poster
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Thu, 13 Aug, 15:00 - 16:15
Session Co-Chairs:
Francesca Bovolo, Fondazione Bruno Kessler and Haonan Guo,
Presentation
Discussion
Resources
No resources available.
Session THP2.PA
THP2.PA.1: SEMANTIC SEGMENTATION OF SEABED FORMS IN THE BALTIC SEA USING PYRAMID VISION TRANSFORMER AND BATHYMETRIC DATA
Paweł Nadachowski, Zbigniew Łubniewski, Gdańsk University of Technology, Poland; Radosław Wróblewski, Gdynia Maritime University, Poland; Karolina Trzcińska, Jarosław Tęgowski, University of Gdańsk, Poland
THP2.PA.2: AUTOMATED SEGMENTATION OF LARGE-SCALE PHOTOVOLTAIC FARMS USING SENTINEL-2 SWIR BANDS AND DEEP LEARNING U-NET++ ARCHITECTURE
Jakub Tobolski, Mateusz Skała, Jakub Świegoda, Miłosz Reterski, Mieszko Warjas, Gdansk University of Technology, Poland
THP2.PA.3: A U-NET DENOISING APPROACH FOR DEPOLARIZATION RATIO ESTIMATES
Amanda Cresanti, University of Maryland, United States; John Yorks, NASA Goddard Space Flight Center, United States; Zhanqing Li, University of Maryland, United States
THP2.PA.4: Manifold-Constrained Residual Learning for Remote Sensing Image Deblurring
Wenyi Zhang, Xiyu Wang, Xiaoyi Yin, Qingwei Chu, Kai Wang, Jianyi Ren, The Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS), China
THP2.PA.5: RESEARCH ON THE METHOD OF EXTRACTING INDIVIDUAL BUILDINGS FROM OBLIQUE PHOTOGRAMMETRIC POINT CLOUDS ASSISTED BY DIGITAL ORTHOPHOTO MAPS
Chaoyang Bian, Fang Huang, Qingzhe Lv, Tongtong Lu, Hao Guan, University of Electronic Science and Technology of China, China; Jian Wang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
THP2.PA.6: UNSUPERVISED AUGMENTATION FOR IMPROVING SEGMENTATION ROBUSTNESS ON URBAN REMOTE SENSING DATA
Rohan Reddy, Fraunhofer USA, United States; Kevin Qiu, Fraunhofer IOSB, United States; Arjun Srinivasan, Madeline Diep, Fraunhofer USA, United States; Dimitri Bulatov, Fraunhofer IOSB, Germany
THP2.PA.7: RESEARCH ON SINGLE-TREE SEGMENTATION OF URBAN 3D POINT CLOUDS BASED ON DIRECTION EMBEDDING NETWORK
Zhiming Liu, Fang Huang, Tongtong Lu, Hao Guan, Chaoyang Bian, University of Electronic Science and Technology of China, China; Jian Wang, Chinese Academy of Sciences, China
THP2.PA.8: Oriented Vehicle Detection in SAR Imagery by Leveraging Rotational Convolution and KLD Optimization
Dan Gao, Xiaofang Wu, Zhijin Wen, Academy of Military Sciences of the People's Liberation Army, China
THP2.PA.9: STAGE-DEPENDENT FREQUENCY-DOMAIN REFINEMENT FOR SAR OBJECT DETECTION
Juhyeon Han, Sunok Kim, Korea Aerospace University, Korea (South)
THP2.PA.10: Fine-Grained Pixel-Wise Hyperspectral Land-Cover Classification in Large-Scale Scenes Using Patch-Based Hypergraph Feature Enrichment
Muhammad Husnain, Griffith University, Australia; Ali Zia, La Trobe University, Australia; Vivien Rolland, CSIRO, Australia; Jun Zhou, Griffith University, Australia
THP2.PA.11: Convolutional Autoencoders for Landsat Single-Time Spatial-Spectral Data Compression: Implications for Classification Accuracy
Ahmadreza Safaeinia, Giorgos Mountrakis, State University of New York College of Environmental Science and Forestry, United States
THP2.PA.12: UNSUPERVISED HYPERSPECTRAL UNMIXING VIA AUTOENCODER-GUIDED ELLIPTIC GRAPH ATTENTION NETWORK
Roshan Bhamare, Arun P V, Indian Institute of Information Technology Sri City, India
Contacts