Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels.

Carbonneau, P.; Bergeron, N.E.; Lane, S.N.

doi:10.1002/esp.1140

Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels.

Carbonneau, P.; Bergeron, N.E.; Lane, S.N.

Authors

Dr Patrice Carbonneau patrice.carbonneau@durham.ac.uk
Associate Professor

N.E. Bergeron

S.N. Lane

Citation

Carbonneau, P., Bergeron, N., & Lane, S. (2005). Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels. Earth Surface Processes and Landforms, 30(1), 121-127. https://doi.org/10.1002/esp.1140

Journal Article Type	Article
Publication Date	2005-01
Journal	Earth Surface Processes and Landforms
Print ISSN	0197-9337
Electronic ISSN	1096-9837
Publisher	British Society for Geomorphology
Volume	30
Issue	1
Pages	121-127
DOI	https://doi.org/10.1002/esp.1140

Mapping riverbed sediment size from Sentinel‐2 satellite data (2022)
Journal Article

Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods (2021)
Journal Article

Adopting deep learning methods for airborne RGB fluvial scene classification (2020)
Journal Article

UAV-based training for fully fuzzy classification of Sentinel-2 fluvial scenes (2020)
Journal Article

Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects (2020)
Journal Article

Downloadable Citations

HTML

BIB

RTF

Authors

Citation

You might also like

Downloadable Citations