Junichi Kurihara

Orcid: 0000-0003-3896-7252

Affiliations:
  • Hokkaido University, Sapporo, Japan


According to our database1, Junichi Kurihara authored at least 12 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Lessons Learned from Structural Design and Vibration Testing of 50-kg Microsatellites Deployed from the International Space Station.
CoRR, January, 2026

2023
Rice Yield Prediction in Different Growth Environments Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging.
Remote. Sens., April, 2023

2022
Detection of Apple Valsa Canker Based on Hyperspectral Imaging.
Remote. Sens., 2022

Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging.
Remote. Sens., 2022

On-orbit Calibration of a Telescope Alignment for Earth Observation using Stars and QUEST.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

Lessons Learned from On-orbit Gyroscope Malfunction and Recovery Operation of Microsatellite RISESAT.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

2021
Radiometric Calibration for a Multispectral Sensor Onboard RISESAT Microsatellite Based on Lunar Observations.
Sensors, 2021

Automated Mission Planning System for Ocean Observation of Micro-satellite RISESAT.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Lunar Calibration and its Validation for a Multispectral Sensor Onboard Risesat Microsatellite.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Inflight Radiometric Calibration for a Multi-Band Sensor Onboard Risesat with the Moon.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
HPT: A High Spatial Resolution Multispectral Sensor for Microsatellite Remote Sensing.
Sensors, 2018

A novel approach for vegetation classification using UAV-based hyperspectral imaging.
Comput. Electron. Agric., 2018


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