High-quality image matching and automated generation of 3D tree models

被引:128
|
作者
Baltsavias, E. [1 ]
Gruen, A. [1 ]
Eisenbeiss, H. [1 ]
Zhang, L. [2 ]
Waser, L. T. [3 ]
机构
[1] ETH, IGP, CH-8093 Zurich, Switzerland
[2] Chinese Acad Surveying & Mapping, Inst Photogrammetry & Remote Sensing, Beijing 100039, Peoples R China
[3] Swiss Fed Inst Forest Snow & Landscape Res, Dept Landscape Inventories, CH-8903 Birmensdorf, Switzerland
关键词
D O I
10.1080/01431160701736513
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Image matching is a key procedure in the process of generation of Digital Surface Models (DSM). We have developed a new approach for image matching and the related software package. This technique has proved its good performance in many applications. Here, we demonstrate its use in 3D tree modelling. After a brief description of our image matching technique, we show results from analogue and digital aerial images and high-resolution satellite images (IKONOS). In some cases, comparisons with manual measurements and/or airborne laser data have been performed. The: evaluation of the results, qualitative and quantitative, indicate the very good performance of our matcher. Depending on the data acquisition parameters, the photogrammetric DSM can be denser than a DSM generated by laser, and its accuracy may be better than that from laser, as in these investigations. The tree canopy is well modelled, without smoothing of small details and avoiding the canopy penetration occurring with laser. Depending on the image scale, not only dense forest areas but also individual trees can be modelled.
引用
收藏
页码:1243 / 1259
页数:17
相关论文
共 50 条
  • [1] Optimized Color Models for High-Quality 3D Scanning
    Narayan, Karthik S.
    Abbeel, Pieter
    [J]. 2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 2503 - 2510
  • [2] AUTOMATED GENERATION OF HIGH-QUALITY 3D POINT CLOUDS OF ANTLERS USING LOW-COST RANGE CAMERAS
    Cheng, Shu
    Lichti, Derek D.
    Matyas, John
    [J]. XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II, 2022, 43-B2 : 531 - 538
  • [3] High-Quality Reconstruction of 3D Model
    Liu, Xing-ming
    Cai, Tie
    Gui, Rong-zhi
    Wang, Hui-jing
    Liu, Jun-yao
    [J]. COMPUTER SCIENCE AND TECHNOLOGY (CST2016), 2017, : 946 - 954
  • [4] HIGH-QUALITY 3D MODELS AND THEIR USE IN A CULTURAL HERITAGE CONSERVATION PROJECT
    Tucci, G.
    Bonora, V.
    Conti, A.
    Fiorini, L.
    [J]. ICOMOS/ISPRS INTERNATIONAL SCIENTIFIC COMMITTEE ON HERITAGE DOCUMENTATION (CIPA) 26TH INTERNATIONAL CIPA SYMPOSIUM - DIGITAL WORKFLOWS FOR HERITAGE CONSERVATION, 2017, 42-2 (W5): : 687 - 693
  • [5] AUTOMATED GENERATION OF HIGH-QUALITY VIDEOTEX GRAPHICS
    CHENG, H
    MAURER, H
    [J]. ANGEWANDTE INFORMATIK, 1984, (08): : 333 - 339
  • [6] High-quality facial keypoints matching with motion smoothness constraint and 3D model constraint
    Zeng, Xianxian
    Wang, Xiaodong
    Chen, Kairui
    Ye, Peichu
    Hu, Xiaorui
    Li, Dong
    Zhang, Yun
    [J]. 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 3519 - 3524
  • [7] Advances in Optomechatronics: An Automated Tilt-Rotational 3D Scanner for High-Quality Reconstructions
    Logozzo, Silvia
    Valigi, Maria Cristina
    Canella, Gabriele
    [J]. PHOTONICS, 2018, 5 (04)
  • [8] Automated UAV path-planning for high-quality photogrammetric 3D bridge reconstruction
    Wang, Feng
    Zou, Yang
    Castillo, Enrique del Rey
    Ding, Youliang
    Xu, Zhao
    Zhao, Hanwei
    Lim, James B. P.
    [J]. STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2024, 20 (10) : 1595 - 1614
  • [9] EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth
    Le, Cindy
    Hetang, Conrui
    Lin, Chendi
    Cao, Ang
    He, Yihui
    [J]. arXiv, 2023,
  • [10] High-quality Modelling of 3D Point Clouds
    Gorkovchuk, Denys
    [J]. GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2016, 30 (09): : 44 - 45