ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201-208, 2018
https://doi.org/10.5194/isprs-annals-IV-2-201-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
28 May 2018
AUTOMATIC SPATIO-TEMPORAL FLOW VELOCITY MEASUREMENT IN SMALL RIVERS USING THERMAL IMAGE SEQUENCES
D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas Technische Universität Dresden, Institute of Photogrammetry and Remote Sensing, 01062 Dresden, Germany
Keywords: Spatio-temporal flow velocity fields, thermal images, calibration, feature tracking, PIV, PTV Abstract. An automatic spatio-temporal flow velocity measurement approach, using an uncooled thermal camera, is proposed in this paper. The basic principle of the method is to track visible thermal features at the water surface in thermal camera image sequences. Radiometric and geometric calibrations are firstly implemented to remove vignetting effects in thermal imagery and to get the interior orientation parameters of the camera. An object-based unsupervised classification approach is then applied to detect the interest regions for data referencing and thermal feature tracking. Subsequently, GCPs are extracted to orient the river image sequences and local hot points are identified as tracking features. Afterwards, accurate dense tracking outputs are obtained using pyramidal Lucas-Kanade method. To validate the accuracy potential of the method, measurements obtained from thermal feature tracking are compared with reference measurements taken by a propeller gauge. Results show a great potential of automatic flow velocity measurement in small rivers using imagery from a thermal camera.
Conference paper (PDF, 1980 KB)

Citation: Lin, D., Eltner, A., Sardemann, H., and Maas, H.-G.: AUTOMATIC SPATIO-TEMPORAL FLOW VELOCITY MEASUREMENT IN SMALL RIVERS USING THERMAL IMAGE SEQUENCES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201-208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018.

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