Prediction of Cereal Rye Cover Crop Biomass and Nutrient Accumulation Using Multi-Temporal Unmanned Aerial Vehicle Based Visible-Spectrum Vegetation Indices.

[BibT_eX]

[DOI]

Richard T. Roth

Kanru Chen

Shalamar D. Armstrong

Remote. Sens., February, 2023

Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels.

[BibT_eX]

[DOI]

Hunsoo Song

Hsiuhan Lexie Yang

Jinha Jung

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data.

[BibT_eX]

[DOI]

Hunsoo Song

Jinha Jung

CoRR, 2023

Accessible Area Mapper for Inclusive and Sustainable Urban Mobility: A Preliminary Investigation of Airborne Point Clouds for Pathway Analysis.

[BibT_eX]

[DOI]

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility, 2023

Assessment of Local Climate Zone Products Via Simplified Classification Rule with 3D Building Maps.

[BibT_eX]

[DOI]

Hunsoo Song

Gaia Cervini

Jinha Jung

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA.

[BibT_eX]

[DOI]

Remote. Sens., 2022

An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping.

[BibT_eX]

[DOI]

Remote. Sens., 2022

A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually.

[BibT_eX]

[DOI]

Hunsoo Song

Jinha Jung

CoRR, 2022

Towards an unsupervised large-scale 2D and 3D building mapping with LiDAR.

[BibT_eX]

[DOI]

Hunsoo Song

Jinha Jung

CoRR, 2022

UAV remote sensing based estimation of green cover during turfgrass establishment.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2022

Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics.

[BibT_eX]

[DOI]

Hunsoo Song

Jinha Jung

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data.

[BibT_eX]

[DOI]

Remote. Sens., 2021

3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation.

[BibT_eX]

[DOI]

J. Sensors, 2021

Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture.

[BibT_eX]

[DOI]

Anjin Chang

Jinha Jung

Jose Luis Landivar-Scott

Juan Landivar

Bryan Barker

Rajib Ghosh

ISPRS Int. J. Geo Inf., 2021

2020

Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV).

[BibT_eX]

[DOI]

Henrique D. R. Carvalho

Junho Yeom

J. Sensors, 2020

Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV).

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

Estimation of Visual Rating of TAR Spot Disease of Corn Using Unmanned Aerial Systems (UAS) Data and Machine Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture.

[BibT_eX]

[DOI]

Remote. Sens., 2019

A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms.

[BibT_eX]

[DOI]

J. Sensors, 2019

Validation of agronomic UAV and field measurements for tomato varieties.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2019

Hurricane Building Damage Assessment using Post-Disaster UAV Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images.

[BibT_eX]

[DOI]

Sensors, 2018

Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2018

2017

A ground based platform for high throughput phenotyping.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2017

Crop height monitoring with digital imagery from Unmanned Aerial System (UAS).

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2017

Cotton growth modeling using unmanned aerial vehicle vegetation indices.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Sorghum panicle extraction from unmanned aerial system data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Ensemble classifier based training data refinement technique for classification of remotely sensed optical images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014

A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013

Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR.

[BibT_eX]

[DOI]

Jinha Jung

Burak K. Pekin

Bryan C. Pijanowski

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

2012

Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure.

[BibT_eX]

[DOI]

Jinha Jung

Melba M. Crawford

IEEE Geosci. Remote. Sens. Lett., 2012

2008

A Two-Stage Approach for Decomposition of ICESat Waveforms.

[BibT_eX]

[DOI]

Jinha Jung

Melba M. Crawford

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Jinha Jung

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