DETECTION AND MONITORING OF BEACH LITTER USING UAV IMAGE AND DEEP NEURAL NETWORK
<p>Beach litter destroys marine ecosystems and creates aesthetic discomfort that lowers the value of the beach. In order to solve this beach litter problem, it is necessary to study the generation and distribution pattern of waste and the cause of the inflow. However, the data for the study ar...
Main Authors: | S. H. Bak, D. H. Hwang, H. M. Kim, H. J. Yoon |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/55/2019/isprs-archives-XLII-3-W8-55-2019.pdf |
Similar Items
-
APPLYING UAV AND PHOTOGRAMMETRY TO MONITOR THE MORPHOLOGICAL CHANGES ALONG THE BEACH IN PENGHU ISLANDS
by: C.-H. Lu
Published: (2016-06-01) -
COMPARISON OF UAV LIDAR AND IMAGERY FOR BEACH MONITORING
by: L. Shaw, et al.
Published: (2019-06-01) -
Monitoring Plastic Beach Litter by Number or by Weight: The Implications of Fragmentation
by: Lauren Smith, et al.
Published: (2021-09-01) -
Comparing UAV and Pole Photogrammetry for Monitoring Beach Erosion
by: Gonzales, Jack Joseph
Published: (2021) -
Small UAV Target Detection Model Based on Deep Neural Network
Published: (2018-04-01)