Fusion of monocular height maps for 3D urban scene reconstruction from uncalibrated satellite images-Reference-Cited by-同舟云学术

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Fusion of monocular height maps for 3D urban scene reconstruction from uncalibrated satellite images

Published:2023-11-23 Issue:12 Volume:14 Page:1260-1270
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Park Soon-Yong¹^ORCID,Son Chang-Min²,Seo DongUk²^ORCID,Baek Seung-Hae³

Affiliation:

1. School of Electronics Engineering, Kyungpook National University, Daegu, Korea

2. Graduate School of Electronics and Electrical Engineering, Kyungpook National University, Daegu, Korea

3. KLA Corporation, LS-Swift Division, Hwaseong-si, Gyeonggi Prov, Korea

Funder

Ministry of Science and ICT, South Korea

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2023.2283901

Reference24 articles.

1. Height estimation from single aerial images using a deep convolutional encoder-decoder network

2. AdaBins: Depth Estimation Using Adaptive Bins

3. 3D SURFACE RECONSTRUCTION FROM MULTI-DATE SATELLITE IMAGES

4. Eigen, D., C. Puhrsch, and R. Fergus. 2014. “Depth Map Prediction from a Single Image Using a Multi-Scale Deep Network.” 28th Annual Conference on Neural Information Processing Systems(NIPS),Montreal, Canada. 3:2366–2374.

5. Automatic 3D Reconstruction from Multi-date Satellite Images

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