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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 2019Show all

5 papers · 1 filter

cs.CV2019★ 6 cited

Multi-View Large-Scale Bundle Adjustment Method for High-Resolution Satellite Images

Xu Huang, Rongjun Qin

Given enough multi-view image corresponding points (also called tie points) and ground control points (GCP), bundle adjustment for high-resolution satellite images is used to refin…

cs.CV2019

Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model

Xiaohu Lu, Rongjun Qin, Xu Huang

Nowadays dense stereo matching has become one of the dominant tools in 3D reconstruction of urban regions for its low cost and high flexibility in generating dense 3D points. Howev…

cs.CV2019★ 4 cited

A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images

Bihe Chen, Rongjun Qin, Xu Huang +2

Stereo dense image matching can be categorized to low-level feature based matching and deep feature based matching according to their matching cost metrics. Census has been proofed…

cs.CV2019

Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping

Rongjun Qin

Although nowadays advanced dense image matching (DIM) algorithms are able to produce LiDAR (Light Detection And Ranging) comparable dense point clouds from satellite stereo images,…

cs.CV2019★ 24 cited

Automated 3D recovery from very high resolution multi-view satellite images

Rongjun Qin

This paper presents an automated pipeline for processing multi-view satellite images to 3D digital surface models (DSM). The proposed pipeline performs automated geo-referencing an…