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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

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Showing 2022Show all

9 papers · 1 filter

cs.CV2022

A Comparative Study on Deep-Learning Methods for Dense Image Matching of Multi-angle and Multi-date Remote Sensing Stereo Images

Hessah Albanwan, Rongjun Qin

Deep learning (DL) stereo matching methods gained great attention in remote sensing satellite datasets. However, most of these existing studies conclude assessments based only on a…

cs.CV2022

A Review of Mobile Mapping Systems: From Sensors to Applications

Mostafa Elhashash, Hessah Albanwan, Rongjun Qin

The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades. MMSs have been widely used to provide valuable assets in different applications. T…

cs.CV2022

Fine-tuning deep learning models for stereo matching using results from semi-global matching

Hessah Albanwan, Rongjun Qin

Deep learning (DL) methods are widely investigated for stereo image matching tasks due to their reported high accuracies. However, their transferability/generalization capabilities…

cs.CV2022

A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing

Shuang Song, Rongjun Qin

Recovering surface albedos from photogrammetric images for realistic rendering and synthetic environments can greatly facilitate its downstream applications in VR/AR/MR and digital…

cs.CV2022

Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction

Mostafa Elhashash, Rongjun Qin

Multi-view stereo (MVS) reconstruction is essential for creating 3D models. The approach involves applying epipolar rectification followed by dense matching for disparity estimatio…

cs.CV2022★ 1 cited

Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model

Shengxi Gui, Rongjun Qin, Yang Tang

Deriving LoD2 models from orthophoto and digital surface models (DSM) reconstructed from satellite images is a challenging task. Existing solutions are mostly system approaches tha…

cs.CV2022★ 9 cited

Constrained Bundle Adjustment for Structure From Motion Using Uncalibrated Multi-Camera Systems

Debao Huang, Mostafa Elhashash, Rongjun Qin

Structure from motion using uncalibrated multi-camera systems is a challenging task. This paper proposes a bundle adjustment solution that implements a baseline constraint respecti…

cs.CV2022

A Graph-Matching Approach for Cross-view Registration of Over-view 2 and Street-view based Point Clouds

Xiao Ling, Rongjun Qin

In this paper, based on the assumption that the object boundaries (e.g., buildings) from the over-view data should coincide with footprints of façade 3D points generated from stree…

eess.IV2022★ 6 cited

A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability

Rongjun Qin, Tao Liu

As an important application in remote sensing, landcover classification remains one of the most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly incre…