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 2021Show all

11 papers · 1 filter

cs.CV2021★ 2 cited

Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto

Shengxi Gui, Rongjun Qin

In this paper, we propose a model-driven method that reconstructs LoD-2 building models following a "decomposition-optimization-fitting" paradigm. The proposed method starts buildi…

cs.CV2021

Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility

Shuang Song, Zhaopeng Cui, Rongjun Qin

We present a novel framework for mesh reconstruction from unstructured point clouds by taking advantage of the learned visibility of the 3D points in the virtual views and traditio…

cs.CV2021

Quality assessment of image matchers for DSM generation -- a comparative study based on UAV images

Rongjun Qin, Armin Gruen, Cive Fraser

Recently developed automatic dense image matching algorithms are now being implemented for DSM/DTM production, with their pixel-level surface generation capability offering the pro…

cs.CV2021

A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse

Ningli Xu, Debao Huang, Shuang Song +5

In this paper, we present a case study that performs an unmanned aerial vehicle (UAV) based fine-scale 3D change detection and monitoring of progressive collapse performance of a b…

cs.CV2021

Spatiotemporal Fusion in Remote Sensing

Hessah Albanwan, Rongjun Qin

Remote sensing images and techniques are powerful tools to investigate earth surface. Data quality is the key to enhance remote sensing applications and obtaining a clear and noise…

cs.CV2021

A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images

Xiao Ling, Xu Huang, Rongjun Qin

Bundle adjustment (BA) is a technique for refining sensor orientations of satellite images, while adjustment accuracy is correlated with feature matching results. Feature match-ing…

cs.CV2021

Individual Tree Detection and Crown Delineation with 3D Information from Multi-view Satellite Images

Changlin Xiao, Rongjun Qin, Xiao Xie +1

Individual tree detection and crown delineation (ITDD) are critical in forest inventory management and remote sensing based forest surveys are largely carried out through satellite…

cs.CV2021

3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets

Hessah Albanwan, Rongjun Qin, Xiaohu Lu +3

The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multitemporal data set. Due to varying acquisition conditions…

cs.CV2021

Change Detection for Geodatabase Updating

Rongjun Qin

The geodatabase (vectorized data) nowadays becomes a rather standard digital city infrastructure; however, updating geodatabase efficiently and economically remains a fundamental a…

cs.CV2021★ 1 cited

Geometric Processing for Image-based 3D Object Modeling

Rongjun Qin, Xu Huang

Image-based 3D object modeling refers to the process of converting raw optical images to 3D digital representations of the objects. Very often, such models are desired to be dimens…

cs.CV2021

3D Reconstruction through Fusion of Cross-View Images

Rongjun Qin, Shuang Song, Xiao Ling +1

3D recovery from multi-stereo and stereo images, as an important application of the image-based perspective geometry, serves many applications in computer vision, remote sensing an…