Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV)
| Autor: | Rami Mannila, Christer Holmlund, Harri Ojanen, Eija Honkavaara, Heikki Saari, Niko Viljanen, Merja Pulkkanen, Tomi Rosnell, Matti A. Eskelinen, Teemu Hakala, Paula Litkey, Ilkka Pölönen |
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| Přispěvatelé: | National Land Survey of Finland, Maanmittauslaitos |
| Rok vydání: | 2016 |
| Předmět: |
spectroscopy
geometry 010504 meteorology & atmospheric sciences Infrared spektroskopia ta1171 0211 other engineering and technologies Geometry radiometry 02 engineering and technology remotely piloted aircraft 01 natural sciences kalibrointi remote sensing Calibration geographic information system Computer vision Electrical and Electronic Engineering ta218 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing ta113 ta213 Contextual image classification business.industry Hyperspectral imaging OtaNano calibration stereo vision VNIR Interferometry General Earth and Planetary Sciences RGB color model Environmental science Radiometry geometria kaukokartoitus Artificial intelligence business image classification |
| Zdroj: | Honkavaara, E, Eskelinen, M A, Pölönen, I, Saari, H, Ojanen, H, Mannila, R, Holmlund, C, Hakala, T, Litkey, P, Rosnell, T, Viljanen, N & Pulkkanen, M 2016, ' Remote sensing of 3-D geometry and surface moisture of a peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard a small Unmanned Airborne Vehicle (UAV) ', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 9, pp. 5440-5454 . https://doi.org/10.1109/TGRS.2016.2565471 |
| ISSN: | 1558-0644 0196-2892 |
| DOI: | 10.1109/tgrs.2016.2565471 |
| Popis: | Miniaturized hyperspectral imaging sensors are becoming available to small unmanned airborne vehicle (UAV) platforms. Imaging concepts based on frame format offer an attractive alternative to conventional hyperspectral pushbroom scanners because they enable enhanced processing and interpretation potential by allowing for acquisition of the 3-D geometry of the object and multiple object views together with the hyperspectral reflectance signatures. The objective of this investigation was to study the performance of novel visible and near-infrared (VNIR) and short-wave infrared (SWIR) hyperspectral frame cameras based on a tunable Fabry–Pérot interferometer (FPI) in measuring a 3-D digital surface model and the surface moisture of a peat production area. UAV image blocks were captured with ground sample distances (GSDs) of 15, 9.5, and 2.5 cm with the SWIR, VNIR, and consumer RGB cameras, respectively. Georeferencing showed consistent behavior, with accuracy levels better than GSD for the FPI cameras. The best accuracy in moisture estimation was obtained when using the reflectance difference of the SWIR band at 1246 nm and of the VNIR band at 859 nm, which gave a root mean square error (rmse) of 5.21 pp (pp is the mass fraction in percentage points) and a normalized rmse of 7.61%. The results are encouraging, indicating that UAV-based remote sensing could significantly improve the efficiency and environmental safety aspects of peat production. peerReviewed |
| Databáze: | OpenAIRE |
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