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Jinha Jung
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2020 – today
- 2024
- [j33]Fatemeh Azimi
, Jinha Jung
Automated Crop Residue Estimation via Unsupervised Techniques Using High-Resolution UAS RGB Imagery. Remote. Sens. 16(7): 1135 (2024) - [j32]Han Sae Kim
Cadastral-to-Agricultural: A Study on the Feasibility of Using Cadastral Parcels for Agricultural Land Parcel Delineation. Remote. Sens. 16(19): 3568 (2024) - [j31]Sabahat Zahra, Henry Ruiz
UAV-Based Phenotyping: A Non-Destructive Approach to Studying Wheat Growth Patterns for Crop Improvement and Breeding Programs. Remote. Sens. 16(19): 3710 (2024) - [j30]Hunsoo Song
An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6067-6084 (2024) - 2023
- [j29]Richard T. Roth
Prediction of Cereal Rye Cover Crop Biomass and Nutrient Accumulation Using Multi-Temporal Unmanned Aerial Vehicle Based Visible-Spectrum Vegetation Indices. Remote. Sens. 15(3): 580 (2023) - [j28]Hunsoo Song
An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation. Remote. Sens. 15(16): 4105 (2023) - [j27]Minyoung Jung
A Scalable Method to Improve Large-Scale Lidar Topographic Differencing Results. Remote. Sens. 15(17): 4289 (2023) - [j26]Hunsoo Song
Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1113-1129 (2023) - [c10]Hunsoo Song, Gaia Cervini, Jinha Jung:
Assessment of Local Climate Zone Products Via Simplified Classification Rule with 3D Building Maps. IGARSS 2023: 3679-3682 - [c9]Hunsoo Song
Accessible Area Mapper for Inclusive and Sustainable Urban Mobility: A Preliminary Investigation of Airborne Point Clouds for Pathway Analysis. SuMob@SIGSPATIAL 2023: 1-4 - [i4]Hunsoo Song, Jinha Jung:
A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data. CoRR abs/2301.06567 (2023) - [i3]Hunsoo Song, Gaia Cervini, Jinha Jung:
Assessment of Local Climate Zone Products via Simplified Classification Rule with 3D Building Maps. CoRR abs/2309.15978 (2023) - 2022
- [j25]Tianyi Wang
UAV remote sensing based estimation of green cover during turfgrass establishment. Comput. Electron. Agric. 194: 106721 (2022) - [j24]Sungchan Oh
High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA. Remote. Sens. 14(4): 935 (2022) - [j23]Joshua Carpenter
An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping. Remote. Sens. 14(17): 4274 (2022) - [c8]Hunsoo Song
Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics. SIGSPATIAL/GIS 2022: 118:1-118:4 - [i2]Hunsoo Song, Jinha Jung:
Towards an unsupervised large-scale 2D and 3D building mapping with LiDAR. CoRR abs/2205.14585 (2022) - [i1]Hunsoo Song, Jinha Jung:
A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually. CoRR abs/2208.11243 (2022) - 2021
- [j22]Anjin Chang
Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture. ISPRS Int. J. Geo Inf. 10(10): 677 (2021) - [j21]Anjin Chang
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation. J. Sensors 2021: 8875606:1-8875606:14 (2021) - [j20]Anjin Chang, Jinha Jung
3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery. Remote. Sens. 13(2): 282 (2021) - [j19]Mahendra Bhandari
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. Remote. Sens. 13(6): 1144 (2021) - [j18]Sungchan Oh
Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data. Remote. Sens. 13(13): 2567 (2021) - 2020
- [j17]Mahendra Bhandari
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV). Comput. Electron. Agric. 176: 105665 (2020) - [j16]Anjin Chang, Jinha Jung
Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV). J. Sensors 2020: 8899325:1-8899325:7 (2020) - [j15]Sungchan Oh
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework. Remote. Sens. 12(18): 2981 (2020) - [j14]Anjin Chang, Junho Yeom
Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease. Remote. Sens. 12(24): 4122 (2020) - [c7]Sungchan Oh, Da-Young Lee
Estimation of Visual Rating of TAR Spot Disease of Corn Using Unmanned Aerial Systems (UAS) Data and Machine Learning Techniques. IGARSS 2020: 4882-4885 - [c6]Akash Ashapure, Jinha Jung, Sungchan Oh, Anjin Chang, Nothabo Dube, Juan Landivar:
Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning. IGARSS 2020: 5199-5202
2010 – 2019
- 2019
- [j13]Juan Enciso
Validation of agronomic UAV and field measurements for tomato varieties. Comput. Electron. Agric. 158: 278-283 (2019) - [j12]Youkyung Han
Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms. J. Sensors 2019: 2962734:1-2962734:10 (2019) - [j11]Junho Yeom
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture. Remote. Sens. 11(13): 1548 (2019) - [j10]Akash Ashapure
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data. Remote. Sens. 11(23): 2757 (2019) - [c5]Junho Yeom, Youkyung Han, Anjin Chang, Jinha Jung:
Hurricane Building Damage Assessment using Post-Disaster UAV Data. IGARSS 2019: 9867-9870 - 2018
- [j9]Jinha Jung
Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes. Comput. Electron. Agric. 152: 74-81 (2018) - [j8]Junho Yeom
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data. Remote. Sens. 10(12): 1895 (2018) - [j7]Xiongzhe Han, J. Alex Thomasson
Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images. Sensors 18(12): 4092 (2018) - 2017
- [j6]Anjin Chang, Jinha Jung
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS). Comput. Electron. Agric. 141: 232-237 (2017) - [j5]Juan Enciso
A ground based platform for high throughput phenotyping. Comput. Electron. Agric. 141: 286-291 (2017) - [c4]Akash Ashapure
Ensemble classifier based training data refinement technique for classification of remotely sensed optical images. IGARSS 2017: 3246-3249 - [c3]Anjin Chang, Jinha Jung
Sorghum panicle extraction from unmanned aerial system data. IGARSS 2017: 4350-4353 - [c2]Junho Yeom, Jinha Jung
Cotton growth modeling using unmanned aerial vehicle vegetation indices. IGARSS 2017: 5050-5052 - 2015
- [j4]Yuhang Zhang, Hsiuhan Lexie Yang
Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(2): 845-858 (2015) - 2014
- [j3]Jinha Jung
A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 491-502 (2014) - 2013
- [j2]Jinha Jung
Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(6): 2453-2461 (2013) - 2012
- [j1]Jinha Jung
Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure. IEEE Geosci. Remote. Sens. Lett. 9(3): 492-496 (2012)
2000 – 2009
- 2008
- [c1]Jinha Jung
A Two-Stage Approach for Decomposition of ICESat Waveforms. IGARSS (3) 2008: 680-683
Coauthor Index
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