Large-Scale LoD2 Building Modeling using Deep Multimodal Feature Fusion

Author:

Soleimani Vostikolaei Faezeh1,Jabari Shabnam1

Affiliation:

1. Department of Geodesy & Geomatics Engineering, University of New Brunswick, Fredericton, NB, Canada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference41 articles.

1. TLS for generating multi-LOD of 3D building model

2. Alharthy A. and Bethel J. 2004. “Detailed building reconstruction from airborne laser data using a moving surface method.” In 20th Congress of International Society for Photogrammetry and Remote Sensing 213–218.

3. A CNN-Based Approach for Automatic Building Detection and Recognition of Roof Types Using a Single Aerial Image

4. Building rooftop classification using random forests for large-scale PV deployment

5. Bengio Y. 2012. Deep Learning of Representations for Unsupervised and Transfer Learning (Vol. 27). http://www.causality.inf.ethz.ch/unsupervised-learning.php.

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1. A framework for fully automated reconstruction of semantic building model at urban-scale using textured LoD2 data;ISPRS Journal of Photogrammetry and Remote Sensing;2024-10

2. Multimodal Building Footprint Extraction from Orthophotoa and Lidar Point Clouds Using Deep Learning Framework;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Data Collection and Wrangling Towards Machine Learning in LoD2+ Urban Models Generation;IFIP Advances in Information and Communication Technology;2024

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