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Im, Jungho (임정호)

Department
Department of Urban and Environmental Engineering(도시환경공학과)
Website
http://iris.unist.ac.kr/
Lab
Intelligent Remote sensing and geospatial Information Science Lab. (환경원격탐사/인공지능 연구실)
Research Keywords
환경원격탐사, 인공지능, Remote sensing, Geospatial modeling, Disaster monitoring and management, artificial intelligence
Research Interests
The IRIS lab utilizes remote sensing, GIS modeling, and artificial intelligence techniques to broaden and deepen our understanding of the Earth science under climate variability/change, and leverages this knowledge to better manage and control critical functions related to terrestrial, coastal, and polar ecosystems, natural and man-made disasters, water resources, and carbon sequestration.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2011-05Support vector machines in remote sensing: A reviewMountrakis, Giorgos; Im, Jungho; Ogole, CaesarARTICLE934 Support vector machines in remote sensing: A review
2011-04A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area ApplicationsGleason, Colin J.; Im, JunghoARTICLE589 A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications
2011-02An artificial immune network approach to multi-sensor land use/land cover classificationGong, Binglei; Im, Jungho; Mountrakis, GiorgosARTICLE825 An artificial immune network approach to multi-sensor land use/land cover classification
2011-02A Genetic Algorithm Approach to Moving Threshold Optimization for Binary Change DetectionIm, Jungho; Lu, Zhenyu; Jensen, John R.ARTICLE676
2010-12Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing dataRhee, Jinyoung; Im, Jungho; Carbone, Gregory J.ARTICLE813 Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data
2010-10An automatic region-based image segmentation algorithm for remote sensing applicationsWang, Zhongwu; Jensen, John R.; Im, JunghoARTICLE664 An automatic region-based image segmentation algorithm for remote sensing applications
2010-07Population estimation based on multi-sensor data fusionLu, Zhenyu; Im, Jungho; Quackenbush, Lindi, et alARTICLE603 Population estimation based on multi-sensor data fusion
2010-06Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classificationKe, Yinghai; Quackenbush, Lindi J.; Im, JunghoARTICLE773 Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification
2009-08Hyperspectral remote sensing analysis of short rotation woody crops grown with controlled nutrient and irrigation treatmentsIm, Jungho; Jensen, J.R.; Coleman, M., et alARTICLE592 Hyperspectral remote sensing analysis of short rotation woody crops grown with controlled nutrient and irrigation treatments
2009-08Enhancing Binary Change Detection Performance Using A Moving Threshold Window (MTW) ApproachIm, Jungho; Rhee, Jinyoung; Jensen, John R.ARTICLE601
2009-07Characteristics of Search Spaces for Identifying Optimum Thresholds in Change Detection StudiesIm, Jungho; Hodgson, Michael E.ARTICLE573 Characteristics of Search Spaces for Identifying Optimum Thresholds in Change Detection Studies
2009-02A Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site MonitoringJensen, John R.; Hodgson, Michael E.; Garcia-Quijano, Maria, et alARTICLE682
2008-11Hyperspectral remote sensing of vegetationIm, Jungho; Jensen, J.R.ARTICLE560 Hyperspectral remote sensing of vegetation
2008-06Delineation of climate regions using in-situ and remotely-sensed data for the CarolinasRhee, Jinyoung; Im, Jungho; Carbone, Gregory J., et alARTICLE757 Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas
2008-06Optimizing the binary discriminant function in change detection applicationsIm, Jungho; Jensen, John R.; Hodgson, Michael E.ARTICLE702 Optimizing the binary discriminant function in change detection applications
2008-04Object-based land cover classification using high-posting-density LiDAR dataIm, Jungho; Jensen, John R.; Hodgson, Michael E.ARTICLE573 Object-based land cover classification using high-posting-density LiDAR data
2008-01Object-based change detection using correlation image analysis and image segmentationIm, Jungho; Jensen, J. R.; Tullis, J. A.ARTICLE708 Object-based change detection using correlation image analysis and image segmentation
2007-01An automated binary change detection model using a calibration approachIm, Jungho; Rhee, Jinyoung; Jensen, John R., et alARTICLE619 An automated binary change detection model using a calibration approach
2006-12Non-point Source Critical Area Analysis and Embedded RUSLE Model Development for Soil Loss Management in the Congaree River Basin in South Carolina, USAIm, Jungho; Rhee, Jin-YoungARTICLE634
2006-10Neighborhood Correlation Image Analysis for Change Detection Using Different Spatial Resolution ImageryIm, JunghoARTICLE548

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