Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar
The objective of this project is to create a new implementation of a deep learning model that uses digital elevation data to detect shipwrecks automatically and rapidly over a large geographic area. This work is intended to apply a new methodology to the field of underwater archaeology. Shipwrecks r...
Main Authors: | Leila Character, Agustin Ortiz JR, Tim Beach, Sheryl Luzzadder-Beach |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/9/1759 |
Similar Items
-
Maritime archaeology and shipwreck ceramics in Malaysia /
by: 374373 Brown, Roxanna M., et al.
Published: ([200) -
Maritime archaeology and shipwreck ceramics in Malaysia /
by: 374373 Brown, Roxanna M., et al.
Published: (2004) -
Active Learning for Recognition of Shipwreck Target in Side-Scan Sonar Image
by: Bangyan Zhu, et al.
Published: (2019-01-01) -
The Impact of Side-Scan Sonar Resolution and Acoustic Shadow Phenomenon on the Quality of Sonar Imagery and Data Interpretation Capabilities
by: Artur Grządziel
Published: (2023-12-01) -
Using Remote Sensing Data to Identify Large Bottom Objects: The Case of World War II Shipwreck of General von Steuben
by: Artur Grządziel
Published: (2020-06-01)