A comparative study on disaster detection from social media images using deep learning

Arif; Abdullah Omar; Sabah Ashraf; AKM Mahbubur Rahman; M Ashraful Amin; Amin Ahsan Ali

doi:10.1007/978-981-15-2188-1_38

Conference Paper2020Cited by 5

A comparative study on disaster detection from social media images using deep learning

Arif, Abdullah Omar, Sabah Ashraf, AKM Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali

Proceedings of the Global AI Congress 2019

Springer Singapore, pp. 485–499, ISBN: 9789811521874

DOI: 10.1007/978-981-15-2188-1_38 URL

Keywords

Social mediaComputer scienceArtificial intelligenceData science

CCDS Authors

AKM Mahbubur Rahman, PhD

Director, DS & IPT Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

M Ashraful Amin, PhD

Founder Director, CCDS
Director, AI/ML, HCI & DS Wings

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

Amin Ahsan Ali, PhD

Director, AI/ML Wing

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Research Interests

Artificial Intelligence, Machine Learning

References

1.Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna. (2016). Rethinking the Inception Architecture for Computer Vision. , 2818–2826[10.1109/cvpr.2016.308]
2.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. [10.1609/aaai.v31i1.11231]
3.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1)[10.1609/aaai.v31i1.11231]
4.Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun. (2015). Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 1943–1955[10.1109/tpami.2015.2502579]
5.Khan Muhammad, Jamil Ahmad, Sung Wook Baik. (2017). Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing, 288, 30–42[10.1016/j.neucom.2017.04.083]
6.Dat T. Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra. (2017). Damage Assessment from Social Media Imagery Data During Disasters. , 569–576[10.1145/3110025.3110109]
7.Firoj Alam, Muhammad Imran, Ferda Ofli. (2017). Image4Act. , 601–604[10.1145/3110025.3110164]
8.Hussein Mouzannar, Yara Rizk, Mariette Awad. (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning.. ISCRAM
9.Konstantinos Avgerinakis, Anastasia Moumtzidou, Stelios Andreadis, Emmanouil Michail, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. (2017). Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection @ Multimedia Satellite Task MediaEval 2017.. MediaEval
10.Yara Rizk, Hadi S. Jomaa, Mariette Awad, Carlos Castillo. (2019). A computationally efficient multi-modal classification approach of disaster-related Twitter images. , 2050–2059[10.1145/3297280.3297481]
11.M. Ashraful Amin, Mahmood Kazi Mohammed. (2015). Overview of the ImageCLEF 2015 medical clustering task. CLEF (Working Notes)
12.Panagiotis Giannakeris, Konstantinos Avgerinakis, Αναστάσιος Καρακώστας, Stefanos Vrochidis, Ioannis Kompatsiaris. (2018). People and Vehicles in Danger - A Fire and Flood Detection System in Social Media. , 1–5[10.1109/ivmspw.2018.8448732]
13.Anouck Adrot, Rob Grace, Christopher W. Zobel, Kathleen Moore. (2021). 18th International Conference on Information Systems for Crisis Response and Management. HAL (Le Centre pour la Communication Scientifique Directe)

Cited By

1.Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, M. Ashraful Amin, Amin Ahsan Ali, Moinul Islam Zaber, AKM Mahbubur Rahman. (2021). A Novel Disaster Image Data-set and Characteristics Analysis using Attention Model. , 6116–6122[10.1109/icpr48806.2021.9412504]
2.Tanu Gupta, Sudip Roy. (2024). DisasterRes-Net: A framework for analyzing social media images in disaster response. International Journal of Disaster Risk Reduction, 116, 105119[10.1016/j.ijdrr.2024.105119]
3.Tanu Gupta, Sudip Roy. (2023). Handcrafted Features Based Analysis of Social Media Images for Disaster Response. , 1–6[10.1109/ict-dm58371.2023.10286923]
4.Sayan Kumar Bhowmick, Asit Barman, Swalpa Kumar Roy. (2025). Thresholding metrics for evaluating explainable AI models in disaster response: Enhancing interpretability and model trustworthiness. Digital Signal Processing, 160, 105068[10.1016/j.dsp.2025.105068]
5.Alain Patrick Ndigande, Josiah Wiggins, Sedat Ozer. (2026). Survey on Disaster Management Datasets for Remote Sensing-Based Emergency Applications. IEEE Transactions on Geoscience and Remote Sensing, 64, 4705121[10.1109/tgrs.2026.3692760]

← All publications

CCDS Authors

AKM Mahbubur Rahman, PhD

Director, DS & IPT Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

M Ashraful Amin, PhD

Founder Director, CCDS
Director, AI/ML, HCI & DS Wings

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

Amin Ahsan Ali, PhD

Director, AI/ML Wing

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Research Interests

Artificial Intelligence, Machine Learning

References

1.Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna. (2016). Rethinking the Inception Architecture for Computer Vision. , 2818–2826[10.1109/cvpr.2016.308]

2.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. [10.1609/aaai.v31i1.11231]

3.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1)[10.1609/aaai.v31i1.11231]

4.Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun. (2015). Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 1943–1955[10.1109/tpami.2015.2502579]

5.Khan Muhammad, Jamil Ahmad, Sung Wook Baik. (2017). Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing, 288, 30–42[10.1016/j.neucom.2017.04.083]

6.Dat T. Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra. (2017). Damage Assessment from Social Media Imagery Data During Disasters. , 569–576[10.1145/3110025.3110109]

7.Firoj Alam, Muhammad Imran, Ferda Ofli. (2017). Image4Act. , 601–604[10.1145/3110025.3110164]

8.Hussein Mouzannar, Yara Rizk, Mariette Awad. (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning.. ISCRAM

9.Konstantinos Avgerinakis, Anastasia Moumtzidou, Stelios Andreadis, Emmanouil Michail, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. (2017). Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection @ Multimedia Satellite Task MediaEval 2017.. MediaEval

10.Yara Rizk, Hadi S. Jomaa, Mariette Awad, Carlos Castillo. (2019). A computationally efficient multi-modal classification approach of disaster-related Twitter images. , 2050–2059[10.1145/3297280.3297481]

11.M. Ashraful Amin, Mahmood Kazi Mohammed. (2015). Overview of the ImageCLEF 2015 medical clustering task. CLEF (Working Notes)

12.Panagiotis Giannakeris, Konstantinos Avgerinakis, Αναστάσιος Καρακώστας, Stefanos Vrochidis, Ioannis Kompatsiaris. (2018). People and Vehicles in Danger - A Fire and Flood Detection System in Social Media. , 1–5[10.1109/ivmspw.2018.8448732]

13.Anouck Adrot, Rob Grace, Christopher W. Zobel, Kathleen Moore. (2021). 18th International Conference on Information Systems for Crisis Response and Management. HAL (Le Centre pour la Communication Scientifique Directe)

Cited By

1.Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, M. Ashraful Amin, Amin Ahsan Ali, Moinul Islam Zaber, AKM Mahbubur Rahman. (2021). A Novel Disaster Image Data-set and Characteristics Analysis using Attention Model. , 6116–6122[10.1109/icpr48806.2021.9412504]

2.Tanu Gupta, Sudip Roy. (2024). DisasterRes-Net: A framework for analyzing social media images in disaster response. International Journal of Disaster Risk Reduction, 116, 105119[10.1016/j.ijdrr.2024.105119]

3.Tanu Gupta, Sudip Roy. (2023). Handcrafted Features Based Analysis of Social Media Images for Disaster Response. , 1–6[10.1109/ict-dm58371.2023.10286923]

4.Sayan Kumar Bhowmick, Asit Barman, Swalpa Kumar Roy. (2025). Thresholding metrics for evaluating explainable AI models in disaster response: Enhancing interpretability and model trustworthiness. Digital Signal Processing, 160, 105068[10.1016/j.dsp.2025.105068]

5.Alain Patrick Ndigande, Josiah Wiggins, Sedat Ozer. (2026). Survey on Disaster Management Datasets for Remote Sensing-Based Emergency Applications. IEEE Transactions on Geoscience and Remote Sensing, 64, 4705121[10.1109/tgrs.2026.3692760]