The evaluation of vegetation classification by narrow-band multi-spectral UAV images

You Wei Bai, Jiann-Yeou Rau, Jyun Ping Jhan, Cho Ying Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Unmanned Aerial Vehicle (UAV) is a high mobility and low cost platform, which can obtain higher spatial and temporal resolution images. In this study, a Miniature Multispectral Camera Array (MiniMCA) is mounted on a fixed-wing UAV to acquire multispectral images for the purpose of various vegetation classifications. MiniMCA is a narrow-band and 12 different lenses composed camera, which can acquire spectrum ranges from blue to near infrared spectral response (450-950 nm). These 12 narrow bands can derive more vegetation indices (VIs) than broad band multi-spectral images, such as NDVI, CAR, GNDVI, OSAVI, and PRI, which has been applied on precision agriculture, environment monitoring, and water stress evaluation. Since the different viewpoints of each camera causes significant misregistration effect, it has first been corrected and aligned to one sensor viewpoint geometry, and secondly generate multi-layer ortho-image with 40 cm spatial resolution through aerial triangulation technic. In the end, the digital number of image is transferred to radiometric reflectance value for computing various VIs. The classification is performed through Object-based Image Analysis (OBIA), and combining the VIs and objects geometry to evaluate the vegetation classification ability.

Original languageEnglish
Title of host publicationACRS 2015 - 36th Asian Conference on Remote Sensing
Subtitle of host publicationFostering Resilient Growth in Asia, Proceedings
PublisherAsian Association on Remote Sensing
Publication statusPublished - 2015
Event36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
Duration: 2015 Oct 242015 Oct 28

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
CountryPhilippines
CityQuezon City, Metro Manila
Period15-10-2415-10-28

Fingerprint

Unmanned aerial vehicles (UAV)
Cameras
Camera lenses
Fixed wings
Geometry
Triangulation
Image resolution
Agriculture
Image analysis
Antennas
Infrared radiation
Monitoring
Sensors
Costs
Water

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Bai, Y. W., Rau, J-Y., Jhan, J. P., & Huang, C. Y. (2015). The evaluation of vegetation classification by narrow-band multi-spectral UAV images. In ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings Asian Association on Remote Sensing.
Bai, You Wei ; Rau, Jiann-Yeou ; Jhan, Jyun Ping ; Huang, Cho Ying. / The evaluation of vegetation classification by narrow-band multi-spectral UAV images. ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 2015.
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Bai, YW, Rau, J-Y, Jhan, JP & Huang, CY 2015, The evaluation of vegetation classification by narrow-band multi-spectral UAV images. in ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015, Quezon City, Metro Manila, Philippines, 15-10-24.

The evaluation of vegetation classification by narrow-band multi-spectral UAV images. / Bai, You Wei; Rau, Jiann-Yeou; Jhan, Jyun Ping; Huang, Cho Ying.

ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Bai YW, Rau J-Y, Jhan JP, Huang CY. The evaluation of vegetation classification by narrow-band multi-spectral UAV images. In ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing. 2015