Large-area automatic detection of shoreline stranded marine debris using deep learning
Marine debris is a global crisis impacting human health, wildlife, and coastal economies. Remote sensing and geospatial technologies are an efficient way to document marine debris across large areas, but the high costs of fieldwork and manual interpretation of debris imagery are major barriers to br...
Main Authors: | W. Ross Winans, Qi Chen, Yi Qiang, Erik C. Franklin |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-11-01
|
Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223003394 |
Similar Items
-
Indonesia Marine Debris: Banda Aceh Coastal Environment Identification
by: Koko Ondara, et al.
Published: (2020-02-01) -
Coastal margins and backshores represent a major sink for marine debris: insights from a continental-scale analysis
by: Arianna Olivelli, et al.
Published: (2020-01-01) -
Marine debris : sources, impacts and solutions /
by: Coe, James M., et al.
Published: (1997) -
Temporal trends in anthropogenic marine macro-debris and micro-debris accumulation on the California Channel Islands
by: Clare L. W. Steele, et al.
Published: (2022-07-01) -
Identification of Unknown Marine Debris by ROVs Using Deep Learning and Different Convolutional Neural Network Structures
by: Mahmoud Assem, et al.
Published: (2024-01-01)