Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77-82, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/77/2016/
doi:10.5194/isprs-archives-XLI-B7-77-2016
 
17 Jun 2016
GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS
E. Honkavaara1, T. Hakala1, O. Nevalainen1, N. Viljanen1, T. Rosnell1, E. Khoramshahi1, R. Näsi1, R. Oliveira2, and A. Tommaselli2 1Dep.of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Masala, Kirkkonummi, Finland
2UNESP, University of São Paulo State, Presidente Prudente - SP, Brazil
Keywords: Hyperspectral, Radiometry, Photogrammetry, Geometry, Matching, Uncertainty Abstract. Light-weight hyperspectral frame cameras represent novel developments in remote sensing technology. With frame camera technology, when capturing images with stereoscopic overlaps, it is possible to derive 3D hyperspectral reflectance information and 3D geometric data of targets of interest, which enables detailed geometric and radiometric characterization of the object. These technologies are expected to provide efficient tools in various environmental remote sensing applications, such as canopy classification, canopy stress analysis, precision agriculture, and urban material classification. Furthermore, these data sets enable advanced quantitative, physical based retrieval of biophysical and biochemical parameters by model inversion technologies. Objective of this investigation was to study the aspects of capturing hyperspectral reflectance data from unmanned airborne vehicle (UAV) and terrestrial platform with novel hyperspectral frame cameras in complex, forested environment.
Conference paper (PDF, 1333 KB)


Citation: Honkavaara, E., Hakala, T., Nevalainen, O., Viljanen, N., Rosnell, T., Khoramshahi, E., Näsi, R., Oliveira, R., and Tommaselli, A.: GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77-82, doi:10.5194/isprs-archives-XLI-B7-77-2016, 2016.

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