Japan Geoscience Union Meeting 2018

Presentation information

[EE] Oral

M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT36] Environmental Remote Sensing

Mon. May 21, 2018 3:30 PM - 5:00 PM 301A (3F International Conference Hall, Makuhari Messe)

convener:Wei Yang(Chiba University), Yuji Sakuno(Institute of Engineering, Hiroshima University), Akihiko Kondoh(千葉大学環境リモートセンシング研究センター), Chairperson:Yang Wei(Chiba University)

4:30 PM - 4:45 PM

[MTT36-05] Vegetation classification using UAV-based hyperspectral imaging

*Tetsuro Ishida1, Junichi Kurihara1, Yukihiro Takahashi1 (1.Hokkaido University)

Keywords:Liquid crystal tunable filter, Unmanned aerial vehicle, Vegetation classification

The use of unmanned aerial vehicle (UAV)-based spectral imaging offers considerable advantages in high-resolution remote-sensing applications. Therefore, the expectation for the utilization in precision agriculture has been growing lately. However, the number of sensors mountable on a UAV is limited, and selecting the optimal combination of spectral bands is complex but crucial for conventional UAV-based multi- spectral imaging systems. To overcome these limitations, we adopted a liquid crystal tunable filter (LCTF), which can transmit selected wavelengths without the need to exchange optical filters. For calibration and validation of the LCTF-based hyperspectral imaging system, a field campaign was conducted in several vegetated areas. In this presentation, the vegetation classification maps produced from the aerial hyperspectral images are introduced and the classification accuracy is evaluated.