Direct application of residual neural network to riverine aerial photography for estimating fish distribution
Author:
Funder
Tokyo Institute of Technology
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology
Link
https://link.springer.com/content/pdf/10.1007/s11355-023-00566-6.pdf
Reference30 articles.
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2. Ando M et al (2019) Discrimination of camera trap images by deep learning. Nature 29(7553):1–73
3. Araújo FG, Williams WP, Bailey RG (2000) Fish assemblages as indicators of water quality in the middle Thames estuary, England (1980–1989). Estuaries 23(3):305–317
4. Buckland M, Gey F (1994) The relationship between recall and precision. J Am Soc Inform Sci 45(1):12–19
5. Camana M, Dala-Corte RB, Becker FG (2016) Relation between species richness and stream slope in riffle fish assemblages is dependent on spatial scale. Environ Biol Fishes 99(8–9):603–612
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