Deep learning approach for building detection using LiDAR–orthophoto fusion

Deep learning approach for building detection using LiDAR–orthophoto fusion

This paper reports on a building detection approach based on deep learning (DL) using the fusion of Light Detection and Ranging (LiDAR) data and orthophotos. The proposed method utilized object-based analysis to create objects, a feature-level fusion, an autoencoder-based dimensionality reduction to...

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Bibliographic Details
Main Authors: Nahhas, Faten Hamed, Mohd Shafri, Helmi Zulhaidi, Sameen, Maher Ibrahim, Pradhan, Biswajeet, Mansor, Shattri
Format: Article
Language:English
Published: Hindawi 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72174/
http://psasir.upm.edu.my/id/eprint/72174/1/Deep%20learning%20approach%20for%20building%20detection%20using%20LiDAR.pdf

Internet

http://psasir.upm.edu.my/id/eprint/72174/
http://psasir.upm.edu.my/id/eprint/72174/1/Deep%20learning%20approach%20for%20building%20detection%20using%20LiDAR.pdf

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