Satellite Image Processing
KOMPSAT, CAS500, Landsat, Sentinel 등 다중 위성영상의 반사도 산출, ARD, 보정/검증, 시계열 처리.
Remote Sensing & Geospatial Intelligence Laboratory
위성영상·공간정보·인공지능융합 연구실
고해상도 위성영상, 공간정보 처리 기술, 인공지능 분석 모델, 웹 기반 시각화 기술을 결합해 지구관측 데이터를 실제 의사결정에 활용 가능한 정보로 전환합니다. 국방 및 공공안전 분야의 위성정보 활용 역량 강화를 위한 연구와 교육도 함께 추진합니다.
Remote Sensing & Geospatial Intelligence Laboratory
Satellite Imagery · Geospatial Information · AIConvergence Laboratory
We combine high-resolution satellite imagery, geospatial information processing, artificial intelligence models, and web-based visualization systems to transform Earth observation data into actionable insight. The lab also advances research and education for satellite information applications in defense and public safety.
Research Focus
핵심 연구 분야
Geospatial AI
고해상도 위성영상 기반 객체 탐지, 수체 추출, 변화 탐지, 토양수분·식생지수 분석, SAM/GeoSAM 응용.
Cloud & Open Source GIS
Open Data Cube, Google Earth Engine, OGC WPS, PaaS/SaaS, 오픈소스 GIS 기반 공간정보 처리 플랫폼.
Web Visualization
COG, WMS, WMTS, GeoJSON, 디지털트윈, 웹 매핑을 활용한 대용량 지리공간 데이터 시각화.
Defense & Public Safety
국방 및 공공안전 분야의 위성정보 활용 역량 강화를 위한 SAR 데이터 활용, 분석 플랫폼, 실무형 교육 연구.
Research Record
대표 성과
- 국내 등재 논문 27편, 국제 저널 12편 규모의 원격탐사·공간정보 연구 실적.
- Remote Sensing, ISPRS IJGI, Applied Sciences, Korean Journal of Remote Sensing 등 위성영상 처리 및 공간정보 논문 발표.
- KOMPSAT-3/3A TOA/TOC 반사도 산출, RadCalNet 기반 검증, Open Data Cube 활용 모델 연구 수행.
- Google Earth Engine 기반 다중 센서 위성영상 분류, GeoSAM 수체 추출, 고해상도 영상 객체 탐지 연구 참여.
- 대한원격탐사학회 우수논문인용상, FOSS4G Seoul Student Award, 공간정보·지리정보 분야 우수논문상 다수.
Conceptual Design of an XCube-Based Data Cube for Geospatial Applications with Remotely Sensed ImageryKorean Journal of Remote Sensing, 2025
Application of Fine-Tuned Segment Anything Model with Google Maps to Forest Road Extraction from CAS500-1 Satellite Images: A Case StudyKorean Journal of Remote Sensing, 2025
Application of Change Detection Using Machine Learning Classification Scheme in Google Earth Engine with High-Resolution Satellite ImageryKorean Journal of Remote Sensing, 2025
39+Journal Publications
20+Research Projects
10+Software Registrations & Certifications
Principal Investigator
연구실 소개
김광섭 교수
정보컴퓨터공학 전공 공학박사로, 경민대학교 컴퓨터소프트웨어학과(지능형소프트웨어학과) 교수이며 현재 학과장을 맡고 있습니다. 연구실은 위성영상, 원격탐사, 공간정보 및 AI 기반 데이터 분석 기술을 바탕으로 다양한 위성데이터 활용 기술과 플랫폼 개발을 수행합니다.
AffiliationKyungmin University
Department컴퓨터소프트웨어학과(지능형소프트웨어학과)
Degree공학박사(정보컴퓨터공학 전공)
Position조교수 / 학과장
Faculty Emailkwangseob@kyungmin.ac.kr
Lab Emailrsgilab@kyungmin.ac.kr
Editorial Activity
2025 Guest Editor, Special Issue: Vegetation Classification and Mapping by Remote Sensing and Machine Learning, MDPI Journal.
Project Visualization
프로젝트 시각화 예제
Research Focus
Core Research Areas
Satellite Image Processing
Reflectance products, ARD workflows, calibration and validation, and time-series processing for KOMPSAT, CAS500, Landsat, and Sentinel imagery.
Geospatial AI
Object detection, water extraction, change detection, soil moisture and vegetation analysis, and SAM/GeoSAM applications for high-resolution imagery.
Cloud & Open Source GIS
Geospatial processing platforms based on Open Data Cube, Google Earth Engine, OGC WPS, PaaS/SaaS, and open-source GIS stacks.
Web Visualization
Interactive visualization of large geospatial datasets using COG, WMS, WMTS, GeoJSON, digital twins, and web mapping technologies.
Defense & Public Safety
SAR data utilization, analysis platforms, and practice-oriented education for strengthening satellite information capabilities in defense and public safety.
Research Record
Selected Achievements
- A research portfolio spanning 27 domestic journal papers and 12 international journal publications in remote sensing and geospatial information.
- Publications in Remote Sensing, ISPRS IJGI, Applied Sciences, and the Korean Journal of Remote Sensing.
- Research on KOMPSAT-3/3A TOA/TOC reflectance products, RadCalNet-based validation, and Open Data Cube utilization models.
- Participation in Google Earth Engine multi-sensor classification, GeoSAM water extraction, and high-resolution object detection research.
- Recognition including an outstanding citation award from the Korean Society of Remote Sensing, FOSS4G Seoul Student Award, and multiple geospatial paper awards.
Conceptual Design of an XCube-Based Data Cube for Geospatial Applications with Remotely Sensed ImageryKorean Journal of Remote Sensing, 2025
Application of Fine-Tuned Segment Anything Model with Google Maps to Forest Road Extraction from CAS500-1 Satellite Images: A Case StudyKorean Journal of Remote Sensing, 2025
Application of Change Detection Using Machine Learning Classification Scheme in Google Earth Engine with High-Resolution Satellite ImageryKorean Journal of Remote Sensing, 2025
39+Journal Publications
20+Research Projects
10+Software Registrations & Certifications
Principal Investigator
Lab Profile
Professor Kwangseob Kim, Ph.D.
Professor in the Department of Computer Software / Intelligent Software at Kyungmin University, currently serving as Department Chair. He holds a Ph.D. in Engineering with a major in Information and Computer Engineering. The lab develops satellite data utilization technologies and platforms based on satellite imagery, remote sensing, geospatial information, and AI-driven data analysis.
AffiliationKyungmin University
DepartmentComputer Software / Intelligent Software
DegreePh.D. in Engineering, Information and Computer Engineering
PositionAssistant Professor / Department Chair
Faculty Emailkwangseob@kyungmin.ac.kr
Lab Emailrsgilab@kyungmin.ac.kr
Editorial Activity
2025 Guest Editor, Special Issue: Vegetation Classification and Mapping by Remote Sensing and Machine Learning, MDPI Journal.
Project Visualization
Project Visualization Examples
OpenLayersCOG + GeoJSONRead a Cloud Optimized GeoTIFF with OpenLayers and overlay detection GeoJSON.
LeafletCOG + GeoJSONVisualize an EPSG:4326 COG and matching detections with georaster-layer-for-leaflet.
GeoServerOpenLayers WMS / WMTSCompare water workspace WMS/WMTS layers with matching GeoJSON overlays.