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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-405-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-405-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Jun 2021
| 28 Jun 2021
A NEW STEREO DENSE MATCHING BENCHMARK DATASET FOR DEEP LEARNING
T. Wu
LASTIG, Univ Gustave Eiffel, ENSG, IGN, F-94160 Saint-Mandé, France
B. Vallet
LASTIG, Univ Gustave Eiffel, ENSG, IGN, F-94160 Saint-Mandé, France
M. Pierrot-Deseilligny
LASTIG, Univ Gustave Eiffel, ENSG, IGN, F-94160 Saint-Mandé, France
E. Rupnik
LASTIG, Univ Gustave Eiffel, ENSG, IGN, F-94160 Saint-Mandé, France
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Short summary
Short summary
We present a method for acquiring very-high-resolution images for 3-D mapping of gullies over kilometre-square areas using kites. Kites used in appropriate conditions can be an advantageous alternative to light unmanned aircraft when local regulations or weather conditions hamper their use. We proved that kites can acquire images, allowing for high-quality 3-D coverage of large areas. We automatically detected and mapped gullies from a decimetre kite DEM with 74 % accuracy of the length.
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 65–70, https://doi.org/10.5194/isprs-archives-XL-3-W4-65-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-65-2016, 2016
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