MOP1.PQ: 3D Mapping Algorithms
Monday, 4 August, 14:30 - 15:45
Location: Plaza Ballroom: Poster Area Q
Session Type: Poster
Session Co-Chairs: Kourosh Khoshelham, The University of Melbourne and Sara Gonizzi Barsanti, Università degli Studi della Campania Luigi Vanvitelli
Track: Data Analysis
Plaza Ballroom: Poster Area Q

MOP1.PQ.1: AN ALTERNATIVE METHOD TO PLANE FITTING: THE ENSEMBLED PLANE FITTING FOR GEOSPATIAL DATA
Gabriel Scarmana, University of Southern Queensland, Australia
Plaza Ballroom: Poster Area Q

MOP1.PQ.2: Observation Anomaly Detection for Block Adjustment of Satellite Images Based On Accuracy Propagation
Yan Zhao, Yingdong Pi, Mi Wang, Wuhan University, China
Plaza Ballroom: Poster Area Q

MOP1.PQ.3: Automatic Pairwise Registration of Terrestrial Laser Scanning Point Clouds via Deep Image Matching
Yubin Liang, Yifan Mu, Haobin Liao, Mengxian Zhang, Tiejun Cui, Tianjin Normal University, China
Plaza Ballroom: Poster Area Q

MOP1.PQ.4: Three-dimensional branch modelling of coniferous forest plots using UAV-LiDAR data
Shangshu Cai, Yong Pang, Chinese Academy of Forestry, China
Plaza Ballroom: Poster Area Q

MOP1.PQ.5: Aerial-3DGS: 3DGS-based Large Scale Aerial Scene Reconstruction
Bin Zhang, China Railway Siyuan Survey and Design Group Co., Ltd., China
Plaza Ballroom: Poster Area Q

MOP1.PQ.6: EPIPOLAR-BASED AGGREGATED NEURAL RADIANCE FIELDS IN REMOTE SENSING FEW-SHOT NOVEL VIEW SYNTHESIS
Yijing Wang, Xu Tang, Dan Zhang, Xiangrong Zhang, Xidian University, China
Plaza Ballroom: Poster Area Q

MOP1.PQ.7: SHADOW-AWARE 3D GAUSSIAN SPLATTING FOR MULTI-VIEW SATELLITE IMAGES
Jiawei Zhang, Xiangrong Zhang, Junxiao Li, Xu Tang, Tianyang Zhang, Guanchun Wang, Feixiang Liu, Licheng Jiao, Xidian University, China
Plaza Ballroom: Poster Area Q

MOP1.PQ.8: PSRGS: PROGRESSIVE SPECTRAL RESIDUAL OF 3D GAUSSIAN FOR HIGH-FREQUENCY RECOVERY
Bocheng Li, Wenjuan Zhang, Bing Zhang, Yiling Yao, Yaning Wang, University of Chinese Academy of Sciences, China
Plaza Ballroom: Poster Area Q

MOP1.PQ.9: STEREO RADARGRAMMETRY USING DEEP LEARNING FROM AIRBORNE SAR IMAGES
Tatsuya Sasayama, Shintaro Ito, Koichi Ito, Takafumi Aoki, Tohoku University, Japan