Publication

Mun, K.-Y., Kang, D., Chi, J. (2025) Performance Comparison of Computer Vision and Deep Learning-Based Methods for Satellite Image Registration under Diverse Environmental Conditions, Korean Journal of Remote Sensing, 41(5), 787–801. https://doi.org/10.7780/kjrs.2025.41.5.7

Chi, J., Park, J., Kim, H.-C. (2025) Enhancing Passive Microwave Brightness Temperature Using Dual-Attention SRGAN, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 22784–22797. https://doi.org/10.1109/JSTARS.2025.3603856

진동혁, 박지상, 장유나, 이승하, 지준화 (2025) 국토위성영상 기반 건물 변화 탐지 GeoAI 학습용 데이터셋, GEO DATA, 7(3), 216–229. https://doi.org/10.22761/GD.2025.0010

진경원, 김지홍, 지준화 (2025) Sentinel-2 위성 영상을 활용한 AutoML 기반 앙상블 모델의 낙동강 수질 지표 추정, 대한원격탐사학회지, 41(3), 501–512. https://doi.org/10.7780/kjrs.2025.41.3.1

김보람, 도예빈, 지준화, 김태훈 (2025) UAV 영상의 GSD 변화에 따른 해안 쓰레기 인식 수준 평가, 대한원격탐사학회지, 41(2), 327–339. https://doi.org/10.7780/kjrs.2025.41.2.1.7

김채은, 지준화 (2025) 시공간 기반 딥러닝 모델을 이용한 GOCI-II 클로로필-a 결측 자료 복원 연구, 대한원격탐사학회지, 41(1), 53–64. https://doi.org/10.7780/kjrs.2025.41.1.5

Kim, K., Ju, H., Chi, J., Jung, J.Y., Nam, S., Park, S.-J., Dafflon, B., et al (2025) Determination of Ground Subsidence Around Snow Fences in the Arctic Region, Lithosphere, 2025(1). https://doi.org/10.2113/2025/lithosphere_2024_215

김채은, 지준화, 김태훈, 이정석 (2024) AIS 빅데이터와 밀집도 분석을 이용한 COVID-19 팬데믹으로 인한 해상교통 변화에 대한 연구. 한국연안방재학회지, 11(4), 177–186. https://doi.org/10.20481/kscdp.2024.11.4.177

Bushuk, M., Chi, J., et al (2024) Predicting September Arctic Sea Ice: A Multimodel Seasonal Skill Comparison. Bulletin of the American Meteorological Society, 105(7), 1170–1203. https://doi.org/10.1175/BAMS-D-23-0163.1

Yang, J., Lee, Y.K., Chi, J. (2023) Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard. International Journal of Applied Earth Observation and Geoinformation, 125, 103583. https://doi.org/10.1016/j.jag.2023.103583

Chi, J., Kim, J.-I., Lee, S., Jeong, Y., Kim, H.-C., Lee, J., Chung, C. (2023) Geometric and Radiometric Quality Assessments of UAV-Borne Multi-Sensor Systems: Can UAVs Replace Terrestrial Surveys? Drones, 7, 411. https://doi.org/10.3390/drones7070411 

Kim, J.-I., Chi, J., Masjedi, A., Flatt, J.E., Crawford, M.M., Habib, A.F., et al (2022) High-resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems. Geoscience Data Journal, 9, 221– 234. https://doi.org/10.1002/gdj3.133 

김철욱, 임평채, 지준화, 김태정, 이수암 (2022) 다중 센서 융합을 위한 무인항공기 물리 오프셋 검보정 방법. 대한원격탐사학회지, 38(6), 1125–1139. http://doi.org/10.7780/kjrs.2022.38.6.1.13

지준화 (2022) Two-stream Convolutional Long- and Short-term Memory 모델의 2001-2021년 9월 북극 해빙 예측 성능 평가. 대한원격탐사학회지, 38(6), 1047–1056. https://doi.org/10.7780/kjrs.2022.38.6.1.6

Kim, Y.J., Laffly, D., Kim, S.-e., Nilsen, L., Chi, J., et al (2022) Chronological changes in soil biogeochemical properties of the glacier foreland of Midtre Lovénbreen, Svalbard, attributed to soil-forming factors. Geoderma, 415. https://doi.org/10.1016/j.geoderma.2022.115777

Kim, K., Lee, J., Ju, H., Jung, J.Y., Chae, N., Chi, J., et al (2021) Time-lapse electrical resistivity tomography and ground penetrating radar mapping of the active layer of permafrost across a snow fence in Cambridge Bay, Nunavut Territory, Canada: correlation interpretation using vegetation and meteorological data. Geosciences Journal, 25, 877–890. https://doi.org/10.1007/s12303-021-0021-7

Chi, J., Bae, J., Kwon, Y.-J. (2021) Two-Stream Convolutional Long- and Short-Term Memory Model Using Perceptual Loss for Sequence-to-Sequence Arctic Sea Ice Prediction. Remote Sensing, 13(17). https://doi.org/10.3390/rs13173413

Chi, J., Kim, H.-C. (2021) Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks. GIScience & Remote Sensing, 58(6), 812–830. https://doi.org/10.1080/15481603.2021.1943213

Choe, H., Chi, J., Thorne, J.H. (2021) Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models. Remote Sensing, 13(13). https://doi.org/10.3390/rs13132490

Chi, J., Lee, H., Hong, S.G., Kim, H.-C. (2021) Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula. Remote Sensing, 13(13). https://doi.org/10.3390/rs13132470

Lim, P.-c., Rhee, S., Seo, J., Kim, J.-I., Chi, J., Lee, S.-b., Kim, T. (2021) An Optimal Image–Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images. Remote Sensing, 13(11). https://doi.org/10.3390/rs13112118

Chi, J., Kim, H.-C., Lee, S., Crawford, M.M. (2019) Deep learning based retrieval algorithm for Arctic sea ice concentration from AMSR2 passive microwave and MODIS optical data. Remote Sensing of Environment, 231. https://doi.org/10.1016/j.rse.2019.05.023

지준화, 김현철 (2018) 광학영상에서의 해빙종류 분류 연구. 대한원격탐사학회지, 34(6-2), 1239–1249. http://doi.org/10.7780/kjrs.2018.34.6.2.8

김현철, 한향선, 현창욱, 지준화, 손영선, 이성재 (2018) 극지 해빙 위성관측을 위한 분석 기술 개발. 대한원격탐사학회지, 34(6-2), 1283–1298. https://doi.org/10.7780/kjrs.2018.34.6.2.12

Chi, J. (2018) Vicarious Calibration-based Robust Spectrum Measurement for Spectral Libraries Using a Hyperspectral Imaging System.  Korean Journal of Remote Sensing, 34(4), 649–659. https://doi.org/10.7780/kjrs.2018.34.4.7

Chi, J., Kim, H.-C. (2017) Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network. Remote Sensing, 9(12). https://doi.org/10.3390/rs9121305

지준화, 현창욱, 김현철, 주형민, 양은진, 박호준, 강성호 (2017) 극지 해양환경 연구를 위한 웹GIS 구축. 한국지리정보학회지, 20(1), 15–25. https://doi.org/10.11108/kagis.2017.20.1.015

Chi, J., Kim, H.-C. (2017) A fully data-driven method for predicting Antarctic sea ice concentrations using temporal mixture analysis and an autoregressive model. Remote Sensing Letters, 8(2), 106–115. https://doi.org/10.1080/2150704X.2016.1234726

Chi, J., Kim, H.-C., Kang, S.-H. (2016) Machine learning-based temporal mixture analysis of hypertemporal Antarctic sea ice data. Remote Sensing Letters, 7(2), 190–199. https://doi.org/10.1080/2150704X.2015.1121300

Chi, J., Crawford, M.M. (2014) Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6), 2531–2539. https://doi.org/10.1109/JSTARS.2014.2319585

Chi, J., Crawford, M.M. (2014) Active Landmark Sampling for Manifold Learning Based Spectral Unmixing. IEEE Geoscience and Remote Sensing Letters, 11(11), 1881–1885. https://doi.org/10.1109/LGRS.2014.2312619

Chi, J., Crawford, M.M. (2013) Selection of Landmark Points on Nonlinear Manifolds for Spectral Unmixing Using Local Homogeneity. IEEE Geoscience and Remote Sensing Letters, 10(4), 711–715. https://doi.org/10.1109/LGRS.2012.2219613