TY - GEN
T1 - Comparison of Light Weight Hyperspectral Camera Spectral Signatures with Field Spectral Signatures for Agricultural Applications
AU - Perera, Chamika Janith
AU - Premachandra, Chinthaka
AU - Kawanaka, Hiroharu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - UAV-based hyperspectral imaging is an emerging research field that enables new domains of research in agriculture and many other research areas. With the advancement of technology and the sensor size, the camera size has been reduced enough that it is now possible to mount these cameras in small UAVs. This presents many advantages over the traditional methods of hyperspectral image acquisition methods such as satellites and manned aircraft. In this short paper, we introduce a new lightweight hyperspectral camera and present the data acquisition process followed to obtain the hyperspectral images. Finally, spectral signatures obtained using a field spectrometer were compared with the data obtained from the drone. Hyperspectral camera signatures from different targets were comparable with the field spectrometer signatures to an extent, and most importantly, they were differentiable.
AB - UAV-based hyperspectral imaging is an emerging research field that enables new domains of research in agriculture and many other research areas. With the advancement of technology and the sensor size, the camera size has been reduced enough that it is now possible to mount these cameras in small UAVs. This presents many advantages over the traditional methods of hyperspectral image acquisition methods such as satellites and manned aircraft. In this short paper, we introduce a new lightweight hyperspectral camera and present the data acquisition process followed to obtain the hyperspectral images. Finally, spectral signatures obtained using a field spectrometer were compared with the data obtained from the drone. Hyperspectral camera signatures from different targets were comparable with the field spectrometer signatures to an extent, and most importantly, they were differentiable.
KW - Hyperspectral camera
KW - Spectral Camera Calibration
KW - Unmanned Aerial Vehicles
UR - http://www.scopus.com/inward/record.url?scp=85149149974&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149149974&partnerID=8YFLogxK
U2 - 10.1109/ICCE56470.2023.10043396
DO - 10.1109/ICCE56470.2023.10043396
M3 - Conference contribution
AN - SCOPUS:85149149974
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Y2 - 6 January 2023 through 8 January 2023
ER -