Research output per year
Research output per year
Personal profile
In Korean
송아람 교수(과학기술대학 위치정보시스템학과)
Education
(2012) B.A., Inha University, Inchen
(2019) Ph.D., Seoul National University, Seoul
(2019) Ph.D., Seoul National University, Seoul
Professional Experience
o (2021.09~) Assistant Professor, Kyungpook National University, Sangju, Korea
o (2020.09~2021.01) Postdoctoral researcher, BK21 four InfraSphere education Research Group, Seoul National University, Seoul, Korea
o (2020.09-2020.12) Lecturer, Chungbuk National University, Cheongju, Korea
o (2020.09-2020.12) Lecturer, Kyungpook National University, Sangju, Korea
o (2019.09~2020.08) Postdoctoral researcher, BK21 plus next-generation construction value creation Leader Training Division, Seoul National University, Seoul, Korea
o (2017.11~2019.08) Researcher, Institute of Engineering Research, Seoul National University, Seoul, Korea
o (2020.09~2021.01) Postdoctoral researcher, BK21 four InfraSphere education Research Group, Seoul National University, Seoul, Korea
o (2020.09-2020.12) Lecturer, Chungbuk National University, Cheongju, Korea
o (2020.09-2020.12) Lecturer, Kyungpook National University, Sangju, Korea
o (2019.09~2020.08) Postdoctoral researcher, BK21 plus next-generation construction value creation Leader Training Division, Seoul National University, Seoul, Korea
o (2017.11~2019.08) Researcher, Institute of Engineering Research, Seoul National University, Seoul, Korea
Research Interests
Remote Sensing
Change Detection
Deep Learning
Change Detection
Deep Learning
Major Research Achievements
o Hybrid approach using deep learning and graph comparison for building change detection
o Change detection in hyperspectral images using recurrent 3D fully convolutional networks
o Uncertainty analysis for object-based change detection in very high-resolution satellite images using deep learning network
o Fully convolutional networks with multiscale 3D filters and transfer learning for change detection in high spatial resolution satellite images
o Change detection in hyperspectral images using recurrent 3D fully convolutional networks
o Uncertainty analysis for object-based change detection in very high-resolution satellite images using deep learning network
o Fully convolutional networks with multiscale 3D filters and transfer learning for change detection in high spatial resolution satellite images
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Shoreline Change Analysis with Deep Learning Semantic Segmentation Using Remote Sensing and GIS Data
Park, S. & Song, A., Feb 2024, In: KSCE Journal of Civil Engineering. 28, 2, p. 928-938 11 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
A Study On Thresholding Methods Of Damaged Area Detection By Wildfires For Newly Launching Microsatellites
Kim, Y., Song, A., Lee, H., Kim, H. O. & Lee, S. G., 2023, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6206-6207 2 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2023-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep Learning-Based Semantic Segmentation of Urban Areas Using Heterogeneous Unmanned Aerial Vehicle Datasets
Song, A., Oct 2023, In: Aerospace. 10, 10, 880.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches
Park, S., Song, A., Lee, Y. & Im, J., 2023, In: Korean Journal of Remote Sensing. 39, 5-3, p. 885-890 6 p.Research output: Contribution to journal › Review article › peer-review
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Hybrid approach using deep learning and graph comparison for building change detection
Park, S. & Song, A., 2023, In: GIScience and Remote Sensing. 60, 1, 2220525.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations