Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W1 |
| Editors | C. Heipke, K. Jacobsen, F. Rottensteiner, U. Sörgel |
| Pages | 139-144 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | Not Eligible |
| Event | ISPRS Hannover Workshop 2013 - Hannover, Germany Duration: 21 May 2013 → 24 May 2013 |
Conference
| Conference | ISPRS Hannover Workshop 2013 |
|---|---|
| Country | Germany |
| City | Hannover |
| Period | 21/05/13 → 24/05/13 |
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Keywords
- hyperspectral sensors
- multispectral image sensors
- remote sensing
- Fabry-Perot interferometer
- piezo actuators
- imaging spectrometer
- UAV
- airborne
- medical imaging
- precision agriculture
- target detection
Cite this
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New light-weight stereosopic spectrometric airborne imaging technology for high-resolution environmental remote sensing : Case studies in water quality mapping. / Honkavaara, E.; Hakala, T.; Kirjasniemi, J.; Lindfors, A.; Mäkynen, Jussi; Nurminen, K.; Ruokokoski, P.; Saari, Heikki; Markelin, L.
Proceedings: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W1. ed. / C. Heipke; K. Jacobsen; F. Rottensteiner; U. Sörgel. 2013. p. 139-144.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - New light-weight stereosopic spectrometric airborne imaging technology for high-resolution environmental remote sensing
T2 - Case studies in water quality mapping
AU - Honkavaara, E.
AU - Hakala, T.
AU - Kirjasniemi, J.
AU - Lindfors, A.
AU - Mäkynen, Jussi
AU - Nurminen, K.
AU - Ruokokoski, P.
AU - Saari, Heikki
AU - Markelin, L.
PY - 2013
Y1 - 2013
N2 - A new Fabry-Perot interferometer (FPI) based light-weight spectrometric camera provides new possibilities for environmental remote sensing applications. The sensor collects spectral data cubes with adjustable spectral properties in a rectangular image format, and so stereoscopic data can be obtained by gathering images in block structures with overlapping images. The FPI camera thus enables stereoscopic, spectrometric remote sensing applications with light-weight, low-cost airborne imaging systems. Our objective is to investigate the processing and use of this new imaging technology in a water quality mapping. We carried out imaging campaigns over a small lake in summer and autumn 2012 using a light-weight unmanned airborne vehicle (UAV) and a small manned airborne vehicle (MAV). We present the preliminary results of these campaigns.
AB - A new Fabry-Perot interferometer (FPI) based light-weight spectrometric camera provides new possibilities for environmental remote sensing applications. The sensor collects spectral data cubes with adjustable spectral properties in a rectangular image format, and so stereoscopic data can be obtained by gathering images in block structures with overlapping images. The FPI camera thus enables stereoscopic, spectrometric remote sensing applications with light-weight, low-cost airborne imaging systems. Our objective is to investigate the processing and use of this new imaging technology in a water quality mapping. We carried out imaging campaigns over a small lake in summer and autumn 2012 using a light-weight unmanned airborne vehicle (UAV) and a small manned airborne vehicle (MAV). We present the preliminary results of these campaigns.
KW - hyperspectral sensors
KW - multispectral image sensors
KW - remote sensing
KW - Fabry-Perot interferometer
KW - piezo actuators
KW - imaging spectrometer
KW - UAV
KW - airborne
KW - medical imaging
KW - precision agriculture
KW - target detection
U2 - 10.5194/isprsarchives-XL-1-W1-139-2013
DO - 10.5194/isprsarchives-XL-1-W1-139-2013
M3 - Conference article in proceedings
SN - 978-1-6299-3514-0
SP - 139
EP - 144
BT - Proceedings
A2 - Heipke, C.
A2 - Jacobsen, K.
A2 - Rottensteiner, F.
A2 - Sörgel, U.
ER -