WEPB.PA.23

SEMANTIC SEGMENTATION FOR REMOTE SENSING IMAGES BASED ON GLOBAL AND LOCAL FEATURES INTEGRATION

Qingle Guo, Shengyu Zhu, Institute of Beijing Control Engineering, China

Session:
WEPB.PA: Segmenting Land Cover I Poster

Track:
Data Analysis

Location:
Poster Area 4: Trianti Balcony

Presentation Time:
Wed, 10 Jul, 16:20 - 17:20

Session Co-Chairs:
Sylvain Lobry, Université de Paris Cité and Claudia Paris, ITC Twente
Presentation
Discussion
Resources
No resources available.
Session WEPB.PA
WEPB.PA.22: CONVOLUTION MEETS TRANSFORMER: EFFICIENT HYBRID TRANSFORMER FOR SEMANTIC SEGMENTATION WITH VERY HIGH RESOLUTION IMAGERY
Yuji Wang, Ruojun Zhao, Shicai Wei, Jingchen Ni, Meng Wu, Yang Luo, Chunbo Luo, University of Electronic Science and Technology of China, China
WEPB.PA.23: SEMANTIC SEGMENTATION FOR REMOTE SENSING IMAGES BASED ON GLOBAL AND LOCAL FEATURES INTEGRATION
Qingle Guo, Shengyu Zhu, Institute of Beijing Control Engineering, China
WEPB.PA.24: A METHOD FOR BUILDING LARGE-SCALE LANDCOVER SEMANTIC SEGMENTATION DATASET OF REMOTE SENSING IMAGE
Xiaocheng Zhang, Penglong Li, Zezhong Ma, Li Wen, Yi Ding, Fengmin Wu, Ying Ao, Chongqing Geomatics and Remote Sensing Center, China
WEPB.PA.25: EDGE ATTENTION SUPERPIXEL SEGMENTATION FOR POLARIMETRIC SAR IMAGES
Huiping Lin, Yaxuan Xing, Fudan Unversity, China; Zongsi Chen, Fudan University, China; Junjun Yin, University of Science and Technology Beijing, China; Jian Yang, Tsinghua University, China
WEPB.PA.26: HIGH-ORDER TRANSFORMER SEMANTIC SEGMENTATION NETWORK FOR HIGH-RESOLUTION REMOTE SENSING IMAGES
Yijie Zhang, Zunni Zhu, Ziying Xia, Changjian Deng, University of Electronic Science and Technology of China, China; Nyima Tashi, Tibet University, China; Jian Cheng, University of Electronic Science and Technology of China, China
WEPB.PA.27: EVALUATING THE EFFICACY OF CUT-AND-PASTE DATA AUGMENTATION IN SEMANTIC SEGMENTATION FOR SATELLITE IMAGERY
Ionut Marian Motoi, Leonardo Saraceni, Daniele Nardi, Thomas Alessandro Ciarfuglia, Sapienza University of Rome, Italy
WEPB.PA.28: Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images
Haoyu Fu, Southwest Forestry University, China; Chen Zheng, Henan University, China; Weiheng Xu, Yili Zhao, Leiguang Wang, Southwest Forestry University, China
WEPB.PA.29: SUPER-RESOLUTION WATER BODY EXTRACTION BASED ON MF-SEGFORMER
Tianyi Zhang, Weibin Li, Xidian University, China; Xihui Feng, Ministry of Natural Resources, China; Yi Ren, Chenhao Qin, Wenbo Ji, Xidian University, China; Xin Yang, Anhui Academy of Agriculture Sciences, China
WEPB.PA.30: GEOLOCATION-AWARE LAND COVER CLASSIFICATION FROM SENTINEL 2 IMAGES
Mojgan Madadikhaljan, Michael Schmitt, University of Bundeswehr Munich, Germany
WEPB.PA.31: A DISTANCE TRANSFORM BASED LOSS FUNCTION FOR THE SEMANTIC SEGMENTATION OF VERY HIGH RESOLUTION REMOTE SENSING IMAGES
Furkan Gül, Erchan Aptoula, Sabanci University, Turkey
Resources
No resources available.