Abstract
The objective of this investigation was to study the use
of a new type of a low-weight unmanned aerial vehicle
(UAV) imaging system in the precision agriculture. The
system consists of a novel Fabry-Perot interferometer
based hyperspectral camera and a high-resolution
small-format consumer camera. The sensors provide
stereoscopic imagery in a 2D frame-format and they both
weigh less than 500 g. A processing chain was developed
for the production of high density point clouds and
hyperspectral reflectance image mosaics (reflectance
signatures), which are used as inputs in the agricultural
application. We demonstrate the use of this new
technology in the biomass estimation process, which is
based on support vector regression machine. It was
concluded that the central factors influencing on the
accuracy of the estimation process were the quality of
the image data, the quality of the image processing and
digital surface model generation, and the performance of
the regressor. In the wider perspective, our
investigation showed that very low-weight, low-cost,
hyperspectral, stereoscopic and spectrodirectional 3D
UAV-remote sensing is now possible. This cutting edge
technology is powerful and cost efficient in
time-critical, repetitive and locally operated remote
sensing applications.
Original language | English |
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Title of host publication | XXII ISPRS Congress 2012 |
Subtitle of host publication | Technical Commission VII |
Publisher | International Society for Photogrammetry and Remote Sensing ISPRS |
Pages | 353-358 |
Volume | I-7 |
ISBN (Print) | 978-1-6299-3368-9 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | A4 Article in a conference publication |
Event | 2012 XXII ISPRS Congress - Melbourne, Australia Duration: 25 Aug 2012 → 1 Sep 2012 |
Conference
Conference | 2012 XXII ISPRS Congress |
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Country | Australia |
City | Melbourne |
Period | 25/08/12 → 1/09/12 |
Keywords
- hyperspectral sensors
- multispectral image sensors
- remote sensing
- Fabry-Perot interferometer
- piezo actuators
- imaging spectrometer
- UAV
- airborne
- medical imaging
- precision agriculture
- target detection