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SPINS Lab, RS Group
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Spatial Informatics & Systems Lab
서울대학교 공간정보연구실
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Reseach Areas

연구실의 주요 연구 분야입니다.

도시 모니터링

Smart City & Urban Monitoring

국방 · 감시정찰

Military Surveillance

AI for RS

Artificial Intelligence for Remote Sensing

재해 · 재난 분석

Disaster Management

신재생 에너지

Renewable Energy

소개

서울대학교 공간정보연구실을
방문해 주신 여러분을 환영합니다.

SPINS LAB, RS Group

: SPatial INformatics & Systems LAB, Remote Sensing Group

‘원격탐사’란 대상물과의 물리적인 접촉 없이 위성, 항공기, 드론 등과 같은 플랫폼에 탑재된 센서를 이용하여 지구환경에 대한 공간정보를 취득하고, 이를 해석하는 연구분야입니다.

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News
Gallery
SPIE Future Sensing Technologies 2025
2025 Fall Conference of the Korean Society of Remote Sensing
2025 NTPU(국립타이베이대학교) Visit to SNU
2025 동문 홈커밍데이
ISRS 2025
Recent Journal

Satellite-Based Flood Resilience Assessment in Data-Scarce Regions: Application to the Downstream Amnok, Taedong, and Tumen River Basins in North Korea

Authors: Hyeonseong Choi, Yeseok Lee, Taehong Kwak, and Yongil Kim
Journal: Korean Journal of Remote Sensing

Multitemporal Flood Damage and Recovery Assessment of the Amnok River Using SAR and Optical Satellite Imagery with a Deep Learning Model

Authors: Taehong Kwak, Hyeonseong Choi, Yeseok Lee, and Yongil Kim
Journal: Korean Journal of Remote Sensing

ER-PASS: Experience Replay with Performance-Aware Submodular Sampling for Domain-Incremental Learning in Remote Sensing

Authors: Yeseok Lee, Donghyeon Lee, Taehong Kwak, and Yongil Kim
Journal: MDPI Remote Sensing

Improving Disparity Consistency With Self-Refined Cost Volumes for Deep Learning-Based Satellite Stereo Matching

Authors: Jiyong Kim, Seoyeon Cho, Minkyung Chung, and Yongil Kim
Journal: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation

Authors: Minkyung Chung and Yongil Kim
Journal: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

공간정보데이터 및 야간 위성영상을 활용한 북한의 도시활력 분석

Authors: 이예석, 이동현, 김지용, 김용일
Journal: Korean Journal of Remote Sensing

Optimal Hyperparameter Analysis of Segment Anything Model for Building Extraction Using KOMPSAT-3/3A Images

Authors: Donghyeon Lee, Jiyong Kim, Yongil Kim
Journal: Korean Journal of Remote Sensing

Integrated Framework for Unsupervised Building Segmentation with Segment Anything Model-Based Pseudo-Labeling and Weakly Supervised Learning

Authors: Jiyong Kim, Yongil Kim
Journal: MDPI Remote Sensing

Enhancing Remote Sensing Image Super-Resolution Guided by Bicubic-Downsampled Low-Resolution Image

Authors: Minkyung Chung, Minyoung Jung, Yongil Kim
Journal: MDPI Remote Sensing