Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network
Semantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters. This paper proposed an improved Efficient Neural Network architecture to segment the UAV video of flood disaster...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522000169 |
| _version_ | 1811277373578936320 |
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| author | Naili Suri Inthizami M. Anwar Ma’sum Machmud R. Alhamidi Ahmad Gamal Ronni Ardhianto Kurnianingsih Wisnu Jatmiko |
| author_facet | Naili Suri Inthizami M. Anwar Ma’sum Machmud R. Alhamidi Ahmad Gamal Ronni Ardhianto Kurnianingsih Wisnu Jatmiko |
| author_sort | Naili Suri Inthizami |
| collection | DOAJ |
| description | Semantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters. This paper proposed an improved Efficient Neural Network architecture to segment the UAV video of flood disaster. The proposed method consists of atrous separable convolution as the encoder and depth-wise separable convolution as the decoder. The experimental results reveal that the proposed method outperforms Efficient Neural Networks’ other architecture and gives the highest frame per second. |
| first_indexed | 2024-04-13T00:15:35Z |
| format | Article |
| id | doaj.art-3862a7b5709f4ad6858f1359af6d0c0b |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-04-13T00:15:35Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-3862a7b5709f4ad6858f1359af6d0c0b2022-12-22T03:10:57ZengElsevierICT Express2405-95952022-09-0183347351Flood video segmentation on remotely sensed UAV using improved Efficient Neural NetworkNaili Suri Inthizami0M. Anwar Ma’sum1Machmud R. Alhamidi2Ahmad Gamal3Ronni Ardhianto4 Kurnianingsih5Wisnu Jatmiko6Faculty of Computer Science, Universitas Indonesia, Depok, IndonesiaFaculty of Computer Science, Universitas Indonesia, Depok, IndonesiaFaculty of Computer Science, Universitas Indonesia, Depok, Indonesia; Corresponding author.Faculty of Engineering, Universitas Indonesia, Depok, IndonesiaPT. Pangripta Geomatika Indonesia (UAV LiDAR Specialist), Jakarta, IndonesiaDepartment of Electrical Engineering, Politeknik Negeri Semarang, Semarang, IndonesiaFaculty of Computer Science, Universitas Indonesia, Depok, IndonesiaSemantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters. This paper proposed an improved Efficient Neural Network architecture to segment the UAV video of flood disaster. The proposed method consists of atrous separable convolution as the encoder and depth-wise separable convolution as the decoder. The experimental results reveal that the proposed method outperforms Efficient Neural Networks’ other architecture and gives the highest frame per second.http://www.sciencedirect.com/science/article/pii/S2405959522000169Atrous separable convolutionDepth-wise separable convolutionEfficient Neural NetworkSemantic segmentation |
| spellingShingle | Naili Suri Inthizami M. Anwar Ma’sum Machmud R. Alhamidi Ahmad Gamal Ronni Ardhianto Kurnianingsih Wisnu Jatmiko Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network ICT Express Atrous separable convolution Depth-wise separable convolution Efficient Neural Network Semantic segmentation |
| title | Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network |
| title_full | Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network |
| title_fullStr | Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network |
| title_full_unstemmed | Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network |
| title_short | Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network |
| title_sort | flood video segmentation on remotely sensed uav using improved efficient neural network |
| topic | Atrous separable convolution Depth-wise separable convolution Efficient Neural Network Semantic segmentation |
| url | http://www.sciencedirect.com/science/article/pii/S2405959522000169 |
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