Anjin Chang

Orcid: 0000-0001-8475-8836

According to our database1, Anjin Chang authored at least 27 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Crop classification in South Korea for multitemporal PlanetScope imagery using SFC-DenseNet-AM.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024

2023
Identification of Brush Species and Herbicide Effect Assessment in Southern Texas Using an Unoccupied Aerial System (UAS).
Remote. Sens., July, 2023

2022
UAV remote sensing based estimation of green cover during turfgrass establishment.
Comput. Electron. Agric., 2022

2021
3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery.
Remote. Sens., 2021

Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping.
Remote. Sens., 2021

Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation.
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.
ISPRS Int. J. Geo Inf., 2021

2020
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework.
Remote. Sens., 2020

Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease.
Remote. Sens., 2020

Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV).
J. Sensors, 2020

Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV).
Comput. Electron. Agric., 2020

Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning.
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.
Remote. Sens., 2019

A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data.
Remote. Sens., 2019

Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms.
J. Sensors, 2019

Validation of agronomic UAV and field measurements for tomato varieties.
Comput. Electron. Agric., 2019

Hurricane Building Damage Assessment using Post-Disaster UAV Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images.
Sensors, 2018

Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data.
Remote. Sens., 2018

Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes.
Comput. Electron. Agric., 2018

2017
An Unsupervised Algorithm for Change Detection in Hyperspectral Remote Sensing Data Using Synthetically Fused Images and Derivative Spectral Profiles.
J. Sensors, 2017

A ground based platform for high throughput phenotyping.
Comput. Electron. Agric., 2017

Crop height monitoring with digital imagery from Unmanned Aerial System (UAS).
Comput. Electron. Agric., 2017

Cotton growth modeling using unmanned aerial vehicle vegetation indices.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Sorghum panicle extraction from unmanned aerial system data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Automatic Extraction of Optimal Endmembers from Airborne Hyperspectral Imagery Using Iterative Error Analysis (IEA) and Spectral Discrimination Measurements.
Sensors, 2015

2013
Hybrid Pansharpening Algorithm for High Spatial Resolution Satellite Imagery to Improve Spatial Quality.
IEEE Geosci. Remote. Sens. Lett., 2013


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