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Evaluation of DSMs generated from multi-temporal aerial photographs using emerging structure from motion–multi-view stereo technology.pdf
Geomorphology 268 (2016) 64–71
Contents lists available at ScienceDirect
Geomorphology
journal homepage: /locate/geomorph
Evaluation of DSMs generated from multi-temporal aerial photographs using emerging structure from motion–multi-view stereo technology
Satoshi Ishiguro ?, Hiroya Yamano, Hiroyuki Oguma
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba-city, Ibaraki 305-8506, Japan
article info
Article history: Received 16 October 2015 Received in revised form 27 May 2016 Accepted 27 May 2016 Available online 29 May 2016
Keywords: Structure from motion–multi-view stereo Digital surface model Aerial photography Accuracy assessment Kume Island
abstract
An accuracy assessment of digital surface models (DSMs) generated from archived aerial photographs using the structure from motion–multi-view stereo (SfM–MVS) technique was carried out. A four-step accuracyassessment procedure was adopted using aerial photography from eight periods, as follows. Step 1: generate a DSM and orthophoto from digital aerial photographs taken in 2013 and ground control points (GCPs) measured by GNSS. Step 2: assess the accuracy of the DSM by comparison with altitude measured by leveling survey. Step 3: generate other historical DSMs and orthophotos from historical aerial photographs using GCPs extracted from the DSM of 2013. Step 4: assess the accuracy of all historical DSMs by comparing with the leveling survey. Then re-calculate the accuracy of historical DSMs by reducing the inherent error in the 2013 DSM. The DSM based on the aerial photographs taken in 2013 was generated with a resolution of 48.2 cm. The residual height error of the GCPs was 15.4 cm. Validation against the altitudes of 171 points revealed that this DSM has a height root-mean-square-error (RMSE) of 24.1 cm and is 9.2 cm lower than the leveling data on average. Even using US military photos with uncon?rmed detailed speci?cations, the model can measure the altitude with an RMSE value of 121.5 cm. It appear
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