Volume XL-1/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 263-267, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W2-263-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 263-267, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W2-263-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Aug 2013

16 Aug 2013

2D HYPERSPECTRAL FRAME IMAGER CAMERA DATA IN PHOTOGRAMMETRIC MOSAICKING

A. Mäkeläinen, H. Saari, I. Hippi, J. Sarkeala, and J. Soukkamäki A. Mäkeläinen et al.
  • MosaicMill Ltd., Finland
  • VTT, Technical Research Center of Finland, Finland
  • Rikola Ltd., Finland

Keywords: Hyperspectral imaging, Hyperspectral frame camera, Remote sensing, Orthomosaicking, Camera calibration, Vegetation indices, Photogrammetric processing, Bundle block adjustment, UAV

Abstract. A new 2D hyperspectral frame camera system has been developed by VTT (Technical Research Center of Finland) and Rikola Ltd. It contains frame based and very light camera with RGB-NIR sensor and it is suitable for light weight and cost effective UAV planes. MosaicMill Ltd. has converted the camera data into proper format for photogrammetric processing, and camera’s geometrical accuracy and stability are evaluated to guarantee required accuracies for end user applications. MosaicMill Ltd. has also applied its' EnsoMOSAIC technology to process hyperspectral data into orthomosaics.

This article describes the main steps and results on applying hyperspectral sensor in orthomosaicking. The most promising results as well as challenges in agriculture and forestry are also described.