사진

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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
2011-02A Genetic Algorithm Approach to Moving Threshold Optimization for Binary Change DetectionIm, Jungho; Lu, Zhenyu; Jensen, John R.ARTICLE649
2010-12Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing dataRhee, Jinyoung; Im, Jungho; Carbone, Gregory J.ARTICLE787 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, JunghoARTICLE643 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 alARTICLE583 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, JunghoARTICLE750 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 alARTICLE565 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.ARTICLE575
2009-07Characteristics of Search Spaces for Identifying Optimum Thresholds in Change Detection StudiesIm, Jungho; Hodgson, Michael E.ARTICLE552 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 alARTICLE649
2008-11Hyperspectral remote sensing of vegetationIm, Jungho; Jensen, J.R.ARTICLE534 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 alARTICLE727 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.ARTICLE681 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.ARTICLE547 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.ARTICLE684 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 alARTICLE594 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-YoungARTICLE617
2006-10Neighborhood Correlation Image Analysis for Change Detection Using Different Spatial Resolution ImageryIm, JunghoARTICLE526
2006Remote sensing agricultural crop type for sustainable development in South AfricaJensen, J.R.; Garcia-Quijano, M. ; Hadley, B., et alARTICLE597
2005-11A change detection model based on neighborhood correlation image analysis and decision tree classificationIm, Jungho; Jensen, JRARTICLE639 A change detection model based on neighborhood correlation image analysis and decision tree classification
2004Neural Networks Approach to Fire Severity Mapping from a Single Post-Fire Landsat 7 ETM+ ImageryIm, Jungho; Park, Jong hwaARTICLE490

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