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A Closer Look at Seagrass Meadows: Semantic Segmentation for Visual Coverage Estimation (CROSBI ID 712332)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Weidmann, Franz ; Jager, Jonas ; Reus, Gereon ; Schultz, Stewart T. ; Kruschel, Claudia ; Wolff, Viviane ; Fricke-Neuderth, Klaus A Closer Look at Seagrass Meadows: Semantic Segmentation for Visual Coverage Estimation // MTS/IEEE OCEANS Conference Marseille, 2019.. Marseille: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 1-6 doi: 10.1109/OCEANSE.2019.8867064

Podaci o odgovornosti

Weidmann, Franz ; Jager, Jonas ; Reus, Gereon ; Schultz, Stewart T. ; Kruschel, Claudia ; Wolff, Viviane ; Fricke-Neuderth, Klaus

engleski

A Closer Look at Seagrass Meadows: Semantic Segmentation for Visual Coverage Estimation

Underwater imaging enables marine researchers to collect large datasets of seagrass images. These images can be used to monitor the health state of underwater meadows by estimating the area that is covered by seagrass and how this area changes over time. Since the manual analysis of such images is slow and error-prone, we follow the path of deep learning for automatic image analysis.Our contribution is the investigation of deep semantic segmentation for the specific task of seagrass coverage estimation. We evaluated multiple Deep Neural Network Architectures including the DeepLabv3Plus Network which performs best, with a mean intersection over union of 87.78%. The qualitative results in our experiments indicate that the Deep Learning approach is not only more accurate than a human but also multiple times faster in annotating underwater meadows. Our code is available on GitHub: https://enviewfulda.github.io/LookingForSeagrassSemanticSegmentation/.

Convolution ; Semantics ; Image segmentation ; Training ; Decoding ; Kernel ; Encoding

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Podaci o prilogu

1-6.

2019.

objavljeno

10.1109/OCEANSE.2019.8867064

Podaci o matičnoj publikaciji

MTS/IEEE OCEANS Conference Marseille, 2019.

Marseille: Institute of Electrical and Electronics Engineers (IEEE)

978-1-7281-1451-4

Podaci o skupu

OCEANS EUROPE

predavanje

17.06.2019-20.06.2019

Marseille, Francuska

Povezanost rada

nije evidentirano

Poveznice