Publications

Local climate zone classification using a multi-scale, multi-level attention network
Local Climate Zones (LCZ) offer a climate-aware and standardized classification scheme composed of 17 urban and natural landscape …
Minho Kim, Doyoung Jeong, Yongil Kim
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Local climate zone classification using a multi-scale, multi-level attention network
Mapping Inaccessible Areas Using Deep Learning based Semantic Segmentation of VHR Satellite Images with OpenStreetMap Data
Remote sensing is crucial for mapping and developing geospatial information of inaccessible areas. In particular, supervised …
Minho Kim, Taehong Kwak, Jaeung Jung, Yongil Kim
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Mapping Inaccessible Areas Using Deep Learning based Semantic Segmentation of VHR Satellite Images with OpenStreetMap Data
Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
Two out of three people will be living in urban areas by 2050, as projected by the United Nations, emphasizing the need for sustainable …
Minho Kim, Doyoung Jeong, Hyoungwoo Choi, Yongil Kim
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Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
Spatiotemporal Fusion of High Resolution Land Surface Temperature Using Thermal Sharpened Images from Regression-based Urban Indices
Obtaining spatially continuous, high resolution thermal images is crucial in order to effectively analyze heat-related phenomena in …
Minho Kim, Kangjoon Cho, Hansae Kim, Yongil Kim
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Spatiotemporal Fusion of High Resolution Land Surface Temperature Using Thermal Sharpened Images from Regression-based Urban Indices
Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network
Meteorological satellite images provide crucial information on solar irradiation and weather conditions at spatial and temporal …
Minho Kim, Hunsoo Song, Yongil Kim
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Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network
Short-Term Forecasting of Photovoltaic Power Integrating Multi-Temporal Meteorological Satellite Imagery in Deep Neural Network
Remotely-sensed satellite imagery offers crucial information on the atmosphere and the local environment, providing a broader …
Hunsoo Song, Gwangjoong Kim, Minho Kim, Yongil Kim
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Short-Term Forecasting of Photovoltaic Power Integrating Multi-Temporal Meteorological Satellite Imagery in Deep Neural Network
Multimodal Merging of Satellite Imagery with Meteorological and Power Plant Data in Deep Convolutional Neural Network for Short-Term Solar Energy Prediction
Solar energy is a promising renewable energy source, but stable generation of photovoltaic (PV) power is largely impaired by …
Gwangjoong Kim, Hunsoo Song, Minho Kim, Yongil Kim
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Multimodal Merging of Satellite Imagery with Meteorological and Power Plant Data in Deep Convolutional Neural Network for Short-Term Solar Energy Prediction
Integration of Sentinel-2 Spectral Information with High Spatial Resolution Planetscope Imagery for Wildfire Damage Assessment
In the short-term aftermath of a wildfire, quick damage assessment is significant to implement efficient disaster response, but the …
Minho Kim, Yongil Kim
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Integration of Sentinel-2 Spectral Information with High Spatial Resolution Planetscope Imagery for Wildfire Damage Assessment
Histogram Matching of Sentinel-2 Spectral Information to Enhance Planetscope Imagery for Effective Wildfire Damage Assessment
In abrupt fire disturbances, high quality images suitable for wildfire damage assessment can be difficult to acquire. Quantifying …
Minho Kim, Minyoung Jung, Yongil Kim
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Histogram Matching of Sentinel-2 Spectral Information to Enhance Planetscope Imagery for Effective Wildfire Damage Assessment
Monitoring the Catastrophic 2018 Mendocino Complex Wildfire Using the Sentinel Constellation
The effects of climate change and global warming are taking a toll on the Earth’s environment. Natural disasters have become more …
Minho Kim, Yongil Kim
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Monitoring the Catastrophic 2018 Mendocino Complex Wildfire Using the Sentinel Constellation
Image Fusion of Spectrally Nonoverlapping Imagery Using SPCA and MTF-based Filters
Most spaceborne sensors have an inevitable tradeoff between spatial and spectral resolutions. This is a typical ill-posed inverse …
Yonghyun Kim, Minho Kim, Jaewan Choi, Yongil Kim
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