Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

WE1.R14.5

VECTORIZING PLANAR ROOF STRUCTURE FROM VERY HIGH RESOLUTION REMOTE SENSING IMAGES USING TRANSFORMERS

Wufan Zhao, KU Leuven, Belgium; Claudio Persello, University of Twente, Netherlands; Xianwei Lv, Wuhan University, China; Alfred Stein, University of Twente, Netherlands; Maarten Vergauwen, KU Leuven, Belgium

Session:

WE1.R14: Advanced Machine Learning Techniques for Remote Sensing Oral

Location:

Room E

Presentation Time:

Wed, 19 Jul, 09:18 - 09:30 Pacific Time (UTC -7)

Session Co-Chairs:

Gencer Sumbul, Technische Universität Berlin and Saurabh Prasad, University of Houston

Session Manager:

Shengjie Liu

Session WE1.R14

WE1.R14.1: ADVERSARIAL DISCRIMINATIVE KNOWLEDGE TRANSFER WITH A MULTI-CLASS DISCRIMINATOR FOR ROBUST GEOAI

Anan Yaghmour, Saurabh Prasad, University of Houston, United States; Melba Crawford, Purdue University, United States

WE1.R14.2: END-TO-END ROAD GRAPH EXTRACTION BASED ON GRAPH NEURAL NETWORK

Chengkai Yang, The University of Tokyo, Japan; Ion-George Todoran, Christian Saravia, Woven by Toyota, Inc., Japan

WE1.R14.3: TRANSFORMER-BASED MULTI-MODAL LEARNING FOR MULTI-LABEL REMOTE SENSING IMAGE CLASSIFICATION

David Sebastian Hoffmann, Kai Norman Clasen, Begüm Demir, Technische Universität Berlin, Germany

WE1.R14.4: A TEXTURE AND SALIENCY ENHANCED IMAGE LEARNING METHOD FOR CROSS-MODAL REMOTE SENSING IMAGE-TEXT RETRIEVAL

Rui Yang, Xidian University, China; Di Zhang, Industrial and Commercial Bank of China, China; Yanhe Guo, Shuang Wang, xidian university, China

WE1.R14.5: VECTORIZING PLANAR ROOF STRUCTURE FROM VERY HIGH RESOLUTION REMOTE SENSING IMAGES USING TRANSFORMERS