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Journal : Civil Engineering Journal

Evaluation of Flood Inundation Image Detection Performance Using Deep Learning Soebroto, Arief A.; Limantara, Lily M.; Suhartanto, Ery; Moh. Sholichin; Ramdani, Fatwa; Rachmawati, Turniningtyas A.
Civil Engineering Journal Vol. 11 No. 11 (2025): November
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-11-08

Abstract

Floods are the most frequently occurring natural disasters, significantly impacting the environment and society. As part of natural disaster mitigation, the impacts could be reduced through predictive techniques using deep learning for semantic segmentation of inundation images. Therefore, this research aims to evaluate the performance of deep learning architectures in segmenting inundation images using the Flood Segmentation dataset, which comprised 290 aerial images. The following segmentation architectures, U-Net, SegNet, and LinkNet, were compared using backbones such as MobileNet, ResNet, EfficientNet, and VGG, as well as optimizers including Adam, SGD, AdaDelta, and RMSProp. Performance was assessed using Intersection over Union (IoU) score, precision, F1-score, recall, and accuracy metrics. The results showed that U-Net achieved the highest performance with IoU, precision, F1-score, recall, and accuracy of 0.767, 0.862, 0.866, 0.876, and 0.899, respectively. Regarding the backbones, MobileNet excelled with IoU, precision, F1-score, recall, and accuracy of 0.764, 0.866, 0.865, 0.869, and 0.898, respectively. The Adam optimizer outperformed others, yielding IoU, precision, F1-score, recall, and accuracy of 0.712, 0.807, 0.824, 0.873, and 0.843. In conclusion, the combination of U-Net with MobileNet backbone and Adam optimizer was the most effective architecture for flood inundation image segmentation, offering a robust foundation for prediction systems.
Co-Authors Achmad Joddy Chandra Alfani Adi Nugroho Aditya Rachmadi Adzanil Rachmadi P Agung Setia Budi, Agung Setia Ahmad Arif Saputra Ahsanun Naseh Khudori Alfi Nur Rusydi Amaliah Khoirun Nisyak Andito Wahyudi Andrian Santiyon Arinda Rachman Arthur Ahmad Fauzi Aryo Pinandito Ayu Meilinda Puspitasari Bondan Sapta Prakoso Budi Darma Setiawan Cendi Tito Rahman Cendy Nelasari Claus Asido Pioraja Deflion Yussac Sahlan Dennie Novandhika Deny Prasetia Taruma Wardana Diah Priharsari Diky Dwi Junianto Djoko Pramono Edo Fadila Sirat Eko Setiawan Ery Suhartanto Estrisantya Irsyadi Azzahrah Fahrudin Wahabi Faisal Akmal Faizatul Amalia Fajar Pradana Farhah Annisa Jamal Firdaus Farid Azhari Farid Khatibul Umam Fathin Naufal Hawi Fauzan Anwari Alkhasani Fitra Abdurrachman Bachtiar Galih Alhakim Gibranda Gibranda Hanifa, Salihati Hanifah Muslimah Az-Zahra Herman Tolle Ida Nurmawati, Ida Ilham Maulana Ubaidillah Ishak Robin Simorangkir Ismiarta Aknuranda Ismiarta Aknuranda Issa Arwani Jeysen Immanuel Wenas Johan Nur Rokhman Kartiko, Erik Yohan Komang Candra Brata Kriswibowo, Rony Limantara, Lily M. Luhur Akbar Devianto Lukas Sada Arihta Sinulingga M. Syauqi Haris Machrus Alawi Malik Fajar Mega Yuda Rukmana Mochamad Chandra Saputra Moh. Sholichin Muhammad Arif Muhammad Erwin Amrullah Amrullah Muhammad Hadi Selamet Hariyanto Muhammad Naufal Yaasir Muhammad Rahmahalim Muhammad Tanzil Furqon Mukhamad Misbakh Alif Musthafawi, Aulia Zahra Nadya Gita Chayani Novia Lusiana Oddy Aulia Rahman Nugroho Oki Ari Saputra Pamuji, Rizky Prayudi Lestantyo Purnama Anaking Rachmadhi, Adzanil Rachmadhi Putra Rachmawati, Turniningtyas A. Ramadhan Abdurrahman Mukhtar Ramadhan Eka Prana Putera Retno Indah Rokhmawati Rimba Anditya Kurniawan Rizqy Anwar Hidayatullah Roudhotul Ridho Akbar Sabda Norman Hayat Sari, Heni Vidia Satrio Agung Wicaksono Satrio Hadi Wijoyo Siswahyudi, Puad Soebroto, Arief A. Supraptoa Supraptoa Supriyanto, Budi Fajar Tri Astoto Kurniawan, Tri Astoto Utaminingrum, Fitri Very Sugiarto, Very Vivin Ayu Lestari Wahyudi, Hafif Bustani Wayan Firdaus Mahmudy Welly Purnomo Zayn, Afta Ramadhan