activity
20192026
most citedPoint Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms

57 citations · 138 across the 50 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.CV2024

Skyeyes: Ground Roaming using Aerial View Images

Zhiyuan Gao, Wenbin Teng, Gonglin Chen +5

Integrating aerial imagery-based scene generation into applications like autonomous driving and gaming enhances realism in 3D environments, but challenges remain in creating detail…

cs.CV2024★ 3 cited

A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse Rendering

Shuang Song, Rongjun Qin

Modeling outdoor scenes for the synthetic 3D environment requires the recovery of reflectance/albedo information from raw images, which is an ill-posed problem due to the complicat…

cs.CV2024

Deep Learning Meets Satellite Images -- An Evaluation on Handcrafted and Learning-based Features for Multi-date Satellite Stereo Images

Shuang Song, Luca Morelli, Xinyi Wu +3

A critical step in the digital surface models(DSM) generation is feature matching. Off-track (or multi-date) satellite stereo images, in particular, can challenge the performance o…

cs.CV2024

Geometry-Aware Feature Matching for Large-Scale Structure from Motion

Gonglin Chen, Jinsen Wu, Haiwei Chen +5

Establishing consistent and dense correspondences across multiple images is crucial for Structure from Motion (SfM) systems. Significant view changes, such as air-to-ground with ve…

cs.CV2024

Geospecific View Generation -- Geometry-Context Aware High-resolution Ground View Inference from Satellite Views

Ningli Xu, Rongjun Qin

Predicting realistic ground views from satellite imagery in urban scenes is a challenging task due to the significant view gaps between satellite and ground-view images. We propose…

cs.CV2024★ 2 cited

Large-scale DSM registration via motion averaging

Ningli Xu, Rongjun Qin

Generating wide-area digital surface models (DSMs) requires registering a large number of individual, and partially overlapped DSMs. This presents a challenging problem for a typic…

cs.CV2024

UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation

Pengfei Zhang, Chang Li, Yongjun Zhang +3

Remotely sensed imagery interpretation (RSII) faces the three major problems: (1) objective representation of spatial distribution patterns; (2) edge uncertainty problem caused by…

cs.CV2024

Image Fusion in Remote Sensing: An Overview and Meta Analysis

Hessah Albanwan, Rongjun Qin, Yang Tang

Image fusion in Remote Sensing (RS) has been a consistent demand due to its ability to turn raw images of different resolutions, sources, and modalities into accurate, complete, an…