Using object-based image analysis to detect laughing gull nests
Remote sensing has long been used to study wildlife; however, manual methods of detecting wildlife in aerial imagery are often time-consuming and prone to human error, and newer computer vision techniques have not yet been extensively applied to wildlife surveys. We used the object-based image analy...
| Published in: | GIScience & Remote Sensing |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-11-01
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2021.1999376 |
